Biallelic markers derived from genomic regions carrying genes involved in arachidonic acid metabolism

ABSTRACT

The invention provides polynucleotides including biallelic markers derived from genes involved in arachidonic acid metabolism and from genomic regions flanking those genes. Primers hybridizing to regions flanking these biallelic markers are also provided. This invention also provides polynucleotides and methods suitable for genotyping a nucleic acid containing sample for one or more biallelic markers of the invention. Further, the invention provides methods to detect a statistical correlation between a biallelic marker allele and a phenotype and/or between a biallelic marker haplotype and a phenotype.

RELATED APPLICATIONS

This application is a divisional of U.S. patent application Ser. No. 10/170,097, filed Jun. 10, 2002, which is a continuation of U.S. patent application Ser. No. 09/641,638, filed Aug. 16, 2000 (now U.S. Pat. No. 6,432,648); which is a continuation-in-part of both U.S. patent application Ser. No. 09/502,330 (abandoned), filed Feb. 11, 2000, and International Patent Application No. PCT/IB00/00184, filed Feb. 11, 2000, which are continuations-in-part of U.S. patent application Ser. No. 09/275,267, filed Mar. 23, 1999 (abandoned). U.S. patent application Ser. No. 09/502,330 (abandoned) and International Patent Application No. PCT/IB00/00184 are continuations-in-part of U.S. patent application Ser. No. 09/275,267, filed Mar. 23, 1999 (abandoned), and International Patent Application No. PCT/IB00/00184 claims benefit of U.S. Provisional Patent Application Ser. No. 60/133,200, filed May 7, 1999, and U.S. Provisional Patent Application Ser. No. 60/119,917, filed Feb. 12, 1999. Each of the above applications are hereby incorporated herein in their entirety including any sequence lists, figures, tables, or drawings.

SEQUENCE LISTING INFORMATION

The Sequence Listing for this application is on duplicate compact discs labeled “Copy 1” and “Copy 2.” Copy 1 and Copy 2 each contain only one file named “Sequence-List.txt” which was created on Jun. 10, 2002, and is 1,243 KB. The entire contents of each of the computer discs are incorporated herein by reference in their entireties.

FIELD OF THE INVENTION

The present invention is in the field of pharmacogenomics, and is primarily directed to biallelic markers that are located in or in the vicinity of genes, which have an impact on arachidonic acid metabolism and the uses of these markers. The present invention encompasses methods of establishing associations between these markers and diseases involving arachidonic acid metabolism such as inflammatory diseases as well as associations between these markers and treatment response to drugs acting on arachidonic acid metabolism. The present invention also provides means to determine the genetic predisposition of individuals to such diseases and means to predict responses to such drugs.

BACKGROUND OF THE INVENTION

The metabolites of arachidonic acid and related fatty acids, collectively termed eicosanoids, exhibit a wide range of biological activities affecting virtually every organ system in mammals. Eicosanoids are among the most important chemical mediators and modulators of the inflammatory reaction and contribute to a number of physiological and pathological processes (See Hardman J. G., Goodman, Gilman A., Limbird L. E.; Goodman & Gilman's The Pharmacological Basis of Therapeutics, 9^(th) edition, McGraw-Hill, N.Y., 1996).

Physiology Pathophysiology and Pharmacological Importance of the Eicosanoids

The eicosanoids are extremely prevalent and have been detected in almost every tissue and body fluid. These lipids contribute to a number of physiological and pathological processes including inflammation, smooth muscle tone, hemostasis, thrombosis, parturition and gastrointestinal secretion. Once synthesized in response to a stimulus, the eicosanoids are not stored to any significant extent but are released immediately and act locally. After they act, they are quickly metabolized by local enzymes to inactive forms. Accordingly, the eicosanoids are categorized as autocrine agents or local hormones. They alter the activities of the cells in which they are synthesized and of adjoining cells. The nature of these effects may vary from one type of cell to another, in contrast with the more uniform actions of global hormones such as insulin, for example. Therefore, the eicosanoids, as local chemical messengers, exert a wide variety of effects in virtually every tissue and organ system.

The principal eicosanoids are the prostaglandins (PG), the thromboxanes (TX) and the leukotrienes (LT), though other derivatives of arachidonate, for example lipoxins, are also produced. They fall into different classes designated by letters and the main classes are further subdivided and designated by numbers.

Inflammatory and Immune Responses

Eicosanoids are lipid mediators of inflammation and play a central, often synergistic, role in numerous aspects of inflammatory responses and host defense. Prostaglandins and leukotrienes are released by a host of mechanical, thermal, chemical, bacterial, and other insults, and they contribute importantly to the genesis of the signs and symptoms of inflammation. The ability to mount an inflammatory response is essential for survival in the face of environmental pathogens and injury, although in some situations and diseases the inflammatory response may be exaggerated and sustained for no apparent beneficial reason. This is the case in numerous chronic inflammatory diseases and allergic inflammation. Acute allergic inflammation is characterized by increased blood flow, extravasation of plasma and recruitment of leukocytes. These events are triggered by locally released inflammatory mediators including eicosanoids and more particularly leukotrienes. The leukotrienes generally have powerful effects on vascular permeability and the leukotriene LTB₄ is a potent chemoattractant for leukocytes and promotes exudation of plasma. The prostaglandins PGE₂ and PGI₂ markedly enhance edema formation and leukocyte infiltration in the inflamed region. Moreover, they potentiate the pain-producing activity of bradykinin.

The participation of arachidonic acid (AA) metabolism in inflammatory diseases such as rheumatoid arthritis, asthma and acute allergy is well established. Prostaglandins have been involved in inflammation, pain and fever. Pathological actions of leukotrienes are best understood in terms of their roles in immediate hypersensitivity and asthma. Lipoxygenases, e.g., 5-lipoxygenase (5-LO), 12-lipoxygenase (12-LO), 15-lipoxygenase A (15-LOA), and 15-lipoxygenase B (15-LOB), have been implicated in the pathogenesis of a variety of inflammatory conditions such as psoriasis and arthritis.

Cardiovascular System

The prostaglandins PGEs, PGF₂ and PGD₂ cause both vasodilation and vasoconstriction. Responses vary with concentration and vascular bed. Systemic blood pressure generally falls in response PGEs, and blood flow to most organs, including the heart, is increased. These effects are particularly striking in some hypertensive patients. Cardiac output is generally increased by prostaglandins of the E and F series. The importance of these vascular actions is emphasized by the participation of PGI₂ and PGE₂ in the hypotension associated with septic shock. The prostaglandins also have been implicated in the maintenance of patency of the ductus arteriosus. Thromboxane synthase (TXA2), also known as CYP5, is a potent vasoconstrictor. Leukotriene C₄ synthase (LTC₄) and the leokotriene LTD₄ cause hypotension. The leukotrienes have prominent effects on the microvasculature. LTC₄ and LTD4 appear to act on the endothelial lining of postcapillary venules to cause exudation of plasma; they are more potent than histamine in this regard. In higher concentrations, LTC4 and LTD4 constrict arterioles and reduce exudation of plasma.

Blood/Platelets

Prostanoids including prostaglandins and thromboxanes exhibit a wide variety of actions in various cells and tissues to maintain local homeostasis in the body. Eicosanoids modify the function of the formed elements of the blood. PGI2 controls the aggregation of platelets in vivo and contributes to the antithrombogenic properties of the intact vascular wall.

TXA2 is a major product of arachidonate metabolism in platelets and, as a powerful inducer of platelet aggregation and the platelet release reaction, is a physiological mediator of platelet aggregation. Pathways of platelet aggregation that are dependent on the generation of TXA2 are sensitive to the inhibitory action of aspirin, which inhibits the cyclooxygenase (COX) pathway. There has been considerable interest in the elucidation of the role played by prostaglandins and TXA2 in platelet aggregation and thrombosis and by PGI₂ in the prevention of these events. The platelet thromboxane pathway is activated markedly in acute coronary artery syndromes and aspirin is beneficial in the secondary prevention of coronary and cerebrovascular diseases. PGI that is generated in the vessel wall may be the physiological antagonist of this system; it inhibits platelet aggregation and contributes to the nonthrombogenic properties of the endothelium. According to this concept, PGI₂ and TXA2 represent biologically opposite poles of a mechanism for regulating platelet-vessel wall interaction and the formation of hemostatic plugs and intraarterial thrombi. There is interest in drugs which inhibit thromboxane synthase and modulate PGI2 production.

Smooth Muscle

Prostaglandins contract or relax many smooth muscles beside those of the vasculature. The leukotrienes contract most smooth muscles. In general, PGFs and PGD2 contract and PGEs relax bronchial and tracheal muscle. LTC4 and LTD4 are bronchoconstrictors. They act principally on smooth muscle in peripheral airways and are 1000 times more potent than histamine both in vitro and in vivo. They also stimulate bronchial mucus secretion and cause mucosal edema. A complex mixture of chemical messengers is released when sensitized lung tissue is challenged by the appropriate antigen. Various prostaglandins and leukotrienes are prominent components of this mixture. Response to the leukotrienes probably dominates during allergic constriction of the airway. Evidence for this conclusion is the ineffectiveness of inhibitors of cycloxygenase and of histaminergic antagonists in the treatment of human asthma and the protection afforded by leukotriene antagonists in antigen induced bronchoconstriction. A particularly important role for the cysteinyl-leukotrienes (LTC4, LTD4, and LTE4) has been suggested in pathogenesis of asthma, which is now recognized as a chronic inflammatory condition. They are potent spasmogens causing a contraction of bronchiolar muscle and an increase in mucus secretion.

Gastric and Intestinal Secretions

PGEs and PGI2 inhibit gastric acid secretion stimulated by feeding, histamine or gastrin. Mucus secretion in the stomach and small intestine is increased by PGEs. These effects help to maintain the integrity of the gastric mucosa and are referred to as the cytoprotectant properties of PGEs. Furthermore, PGEs and their analogs inhibit gastric damage caused by a variety of ulcerogenic agents and promote healing of duodenal and gastric ulcers. Cytoprotection is of therapeutic importance and PGE₁ analogs are used for the prevention of gastric ulcers.

Kidney and Urine Formation

Prostaglandins modulate renal blood flow and may serve to regulate urine formation by both renovascular and tubular effects. Increased biosynthesis of prostaglandins has been associated with Bartter's syndrome, a rare disease, characterized by urinary wasting of K⁺.

Leukotrienes have been involved in the pathophysiology of glomerular immune injury.

Reproduction and Parturition

Much interest is attached to the possible involvement of prostaglandins in reproductive physiology. Lowered concentrations of prostaglandins in semen have been implicated in male infertility. Prostaglandins are also thought to contribute to the symptoms of primary dysmenorrhea. Inhibitors of cyclooxygenase are effective in relieving the symptoms of this condition. Elevated levels of prostaglandins are involved in onset of labor. Inhibitors of cyclooxygenase increase the length of gestation and interrupt premature labor.

Cancer Metastasis

Tumors in animals and certain spontaneous human tumors are accompanied by increased concentrations of local or circulating prostaglandins. Eicosanoids have been shown to be involved in various aspects of neoplasia including cell transformation, tumor promotion, tumor cell growth, and metastasis. Some studies have implicated platelet aggregation and the effects of prostaglandins and hydroxyeicosatetraenoic acid (12-HETE) in the hematogenous metastasis of tumors.

Many of the products of arachidonic acid metabolism are potent mediators of physiological responses and contribute to disorders of development, cellular function, tissue repair, and host defenses in a number of diseases.

Arachidonic Acid Metabolism and Biosynthesis of Eicosanoids

The primary source of eicosanoids in mammalian systems is the metabolic products of arachidonic acid. After stimulation by trauma, infection, or inflammation, translocated phospholipases, especially phospholipase A₂, act on membrane phospholipids to liberate arachidonic acid. Once released, arachidonate is metabolized to oxygenated products by several distinct enzyme pathways, including cyclooxygenases, several lipoxygenases, and cytochrome P450s (CYP). The specific enzyme pathway involved determines, which products are formed.

Release of Arachidonic Acid from Cell Membranes and its Regulation

The eicosanoids are a family of substances produced from the polyunsaturated fatty acid arachidonic acid, which is present in plasma-membrane phospholipids. The first rate-limiting step in the biosynthesis of eicosanoids is the release of arachidonic acid from the membrane, a process that is mainly catalyzed by cytosolic phosholipase A₂ (cPLA₂). The synthesis of eicosanoids begins when a stimulus such as a hormone, a neurotransmitter, a drug or a toxic agent activates cytosolic phospholipase A₂. This arachidonic acid specific phospholipase plays a major role in the cell signaling events that initiate the arachidonate cascade. One important trigger of arachidonate release and eicosanoid synthesis involves tissue injury and inflammation.

The activities of many enzymes are regulated by calmodulins (CAL) that serve as calcium sensors in eukaryotic cells. The binding of Ca²⁺ to multiple sites in calmodulin induces a major conformational change that converts it from an inactive to an active form. Activated calmodulin then binds to many enzymes and target proteins in the cell, modifying their activities and thereby regulating various metabolic pathways. Calmodulins are involved in a number of processes regulated by Ca²⁺ including smooth muscle contraction, neurotransmission, apoptosis, cell cycle progression and gene expression. Calmodulins also participate in the regulation of arachidonate release. They directly stimulate cytosolic phospholipase A₂, whereas calmodulin antagonists inhibit enzyme activity and the release of arachidonic acid.

Annexins (ANX) are a family of multifunctional calcium and phospholipid-binding proteins, they belong to a family of proteins that interact with phospholipids in a Ca²⁺ dependant manner. Annexins have been implicated in the pathogenesis of benign and malignant neoplasms of different origins. Moreover, several annexins have also been involved in autoimmune diseases such as systemic lupus erythematosus, rheumatoid arthritis and inflammatory bowl disease. Numerous physiological functions have been attributed to annexins including regulation of membrane traffic during exocytosis and endocytosis, mediation of cytoskeletal-membrane interactions, membrane receptor function, regulation of membrane-dependent enzymes, mitogenic signal transduction, transmembrane ion channel activity, cell-cell adhesion, antiinflammatory properties, inhibition of blood coagulation and inhibition of phospholipase A₂. Annexins have been suggested as regulators of prostaglandin metabolism and of the arachidonate cascade as a result of their inhibitory effect on phospholipase A₂. It is still a matter of debate as to whether inhibition of phospholipase A2 is the result of calcium-dependent sequestration of phospholipids (substrate depletion mechanism) or a direct effect of the annexins acting via protein-protein interactions. Calpactin I (light chain) is the cellular ligand of annexin II and induces its dimerization. Annexin II and calpactin I (CALPA) constitute a calcium binding complex composed of two light chains (calpactin I) and two heavy chains (annexin II). Calpactin I may function as regulator of annexin II phosphorylation.

The activities of phospholipase A₂, annexins and calmodulins are common points of regulation in the formation of all eicosanoids.

Downstream of phospholipase A₂, the varying eicosanoid-pathway enzymes found in particular cell types determine which eicosanoids are synthesized in response to particular stimuli.

Cyclooxygenase Pathway

This pathway initiated by cyclooxygenase (COX) leads ultimately to formation of the cyclic endoperoxides, prostaglandins (PG), and thromboxanes (TX).

There are two isoforms of the cyclooxygenase, COX-1 and COX-2. The former is constitutively expressed in most cells. In contrast, COX-2 is not normally present but may be induced by certain factors such as cytokines and growth factors. The cyclooxygenases have two distinct activities: an endoperoxidase synthase activity that oxygenates and cyclizes the unesterified precursor fatty acid to form the cyclic endoperoxide PGG and a peroxidase activity that converts PGG to PGH. PGG and PGH are chemically unstable, but they can be transformed enzymatically into a variety of products, including PGI, TXA2, PGE, PGF or PGD. Isomerases lead to the synthesis of PGE₂ and PGD₂, whereas PGI₂ is formed from PGH₂ through prostacyclin synthase. TXA2 is formed by thromboxane synthase. Although most tissues are able to synthesize the PGG and PGH intermediates from free arachidonate, the fate of these precursors varies in each tissue and depends on the complement of enzymes that are present and on their relative abundance. For example, lung and spleen are able to synthesize the whole range of products. In contrast, platelets contain thromboxane synthase as the principal enzyme that metabolizes PGH, while endothelial cells contain primarily prostacyclin synthase.

Lipoxygenase Pathways

Lipoxygenases are a family of cytosolic enzymes that catalyze the oxygenation of fatty acids to corresponding lipid hydroperoxides. Arachidonate is metabolized to HPETE (hydroperoxyeicosatetraenoic acid), which is then converted either enzymatically or non-enzymatically to 12-HETE (hydroxyeicosatetraenoic acid). HPETEs may further be converted to hepoxilins and lipoxins. Lipoxygenases differ in their specificity for placing the hydroperoxy group, and tissues differ in the lipoxygenases they contain. These enzymes are referred to as 12-, 15-, 5- and 8-lipoxygenases according to the oxygenation sites in arachidonic acid as substrate.

The lipoxygenases catalyze reactions and generate products of potential relevance to membrane remodeling, cell differentiation and inflammation. Products of the 15-LO pathway could contribute to the pathophysiology of allergic airway inflammation while products of the 12-LO pathway have been implicated in cancer metastasis, psoriasis and inflammation.

Various biological activities have been reported for the 12-lipoxygenase metabolites of arachidonic acid. As other eicosanoids, they are important chemical mediators and modulators of the inflammatory reaction. 12-HETE is the major arachidonic acid metabolite of 12-lipoxygenase and seems to be implicated in a wide-spectrum of biological activities such as stimulation of insulin secretion by pancreatic tissue, suppression of renin production, chemoattraction of leukocytes and initiation of growth-related signaling events, such as activation of oncogenes, protein kinase C, and mitogen-activated protein kinases. 12-lipoxygenase activity and 12-HETE production are also important determining factors in tumor cell metastasis and have been implicated in human prostate cancer and breast cancer (Honn et al., Cancer Metastasis Rev., 13:365-396, 1994, Gao et al., Adv. Exp. Med. Biol., 407:41-53, 1997; Natarajan et al., J. Clin. Endocr. Metab., 82:1790-1789, 1997,). Further, 12-HETE has also been implicated in inflammatory skin diseases such as psoriasis (Hussai et al., Am. J. Physiol., 266:243-253, 1994). As mentioned above, metabolism of arachidonic acid by 12-lipoxygenase further generates lipoxins and hepoxillins. Lipoxins play the role of both immunologic and hemodynamic regulators and a variety of biological activities have been reported for hepoxillins which are related to the release of intracellular calcium and the opening of potassium channels (Yamamoto et al., Pro. Lipid Res., 36:23-41, 1997).

The 5-lipoxygenase (5-LO) is perhaps the most important of these enzymes since it leads to the synthesis of leukotrienes. Activation of the 5-LO enzyme involves its docking to a protein termed 5-lipoxygenase-activating protein (FLAP). This binding activates the enzyme, results in its association with the cell membrane and increased synthesis of 5-HPETE and leukotrienes. Leukotriene A (LTA) synthase is associated with 5-lipoxygenase and promotes the rearrangement of 5-HPETE to an unstable intermediate LTA₄; which may be transformed to LTB₄ by leukotriene A₄ hydrolase (LTA4H); alternatively, it may be conjugated with glutathione by LTC₄ synthase to form LTC₄. LTA4 hydrolase is a pivotal element in leukotriene biosynthesis. Omega-oxidation is regarded as the major pathway for the catabolism of LTB₄. This reaction is catalyzed by LTB₄ omega-hydroxylase (LTB4H3) also called CYP4F2. LTD₄ is produced by the removal of glutamic acid from LTC₄ and LTE₄ results from the subsequent cleavage of glycine; the reincorporation of glutamic acid yields LTF₄.

Epoxygenase Pathway

Arachidonate is metabolized to a variety of metabolites by enzymes that contain cytochrome P450. The epoxygenase pathway of the arachidonic acid cascade leads to the formation of epoxyeicosatrienoic acids (EETs) and dihydroxyeicosatrienoic acids (DHETs). CYP2J2 is a human cytochrome P450 arachidonic acid epoxygenase expressed in extrahepatic tissues and particularly in the intestine. In addition to the known effects on intestinal vascular tone, CYP2J2 products may be involved in the release of intestinal neuropeptides, control of intestinal motility and modulation of intestinal fluid/electrolyte transport.

Eicosanoid Receptors

The diversity of the effects of eicosanoids is explained by the existence of a number of distinct receptors that mediate their actions. All prostaglandin receptors identified to date are coupled to effector mechanisms through G proteins. Distinct receptors for leukotrienes also have been identified in different tissues, all of these appear to activate phospholipase C.

Therapeutic Agents Interacting with Arachidonic Acid Metabolism

Because of their involvement in so many disease states, there has been a considerable effort to develop effective inhibitors to the formation or action of the eicosanoids. The drugs that influence the eicosanoid pathways are the most commonly used drugs in the world today. Their major uses are to reduce pain, fever and inflammation. Several classes of drugs, most notably the nonsteroidal antiinflammatory drugs (NSAIDs) owe their therapeutic effects to blockade of the formation of eicosanoids. Selective inhibitors of arachidonic acid metabolism also have an important therapeutic value. Inhibition of cyclooxygenase (COX), the enzyme responsible for the biosynthesis of the prostaglandins and certain related autacoids, generally is thought to be a major facet of the mechanism of NSAIDs. Aspirin and newer, widely used drugs belong to the NSAIDs. All NSAIDs are antipyretic, analgesic and antiinflammatory but there are important differences in their activities and in their side effects. The reasons for such differences are not fully understood. Side effects of these drugs include gastrointestinal ulceration, disturbances in platelet function, changes in renal function and hypersensitivity reactions. It is now appreciated that there are two forms of cyclooxygenase (COX), inhibition of COX-2 is thought to mediate the antipyretic, analgesic and antiinflammatory action of NSAIDs, whereas the simultaneous inhibition of COX-1 may result in unwanted side effects. Efforts are under way to identify COX-2 specific agents. But, it is also possible that enhanced generation of lipoxygenase products, due to the diversion of arachidonic acid metabolism from the cyclooxygenase pathway towards the lipoxygenase pathways, contributes to some of the side effects. Effort is being devoted to a search for drugs that will produce more selective interventions by acting farther along the biosynthetic pathways. Several compounds have been described that selectively antagonize responses to TXA2 and to PGH₂. Some are receptor antagonists others directly inhibit thromboxane synthase.

Advances in understanding the pathobiology of the inflammatory process has suggested several novel approaches for development of drugs to block this process. These include phospholipase A₂ inhibitors. Glucocorticoids are thought to have an effect on arachidonic acid metabolism through the induction of lipocortin that inhibits phospholipase A₂.

NSAIDs generally do not inhibit the formation of other eicosanoids such as the lipoxygenase-produced leukotrienes. Substantial evidence indicates that leukotrienes contribute to the inflammatory response through a variety of effects. Leukotrienes have been implicated as mediators of inflammation and immediate hypersensitivity reactions—in particular, human bronchial asthma—and thus considerable effort has been done to develop either inhibitors of the production or blockers of the action of the actions of these mediators. Various therapeutic approaches have been used including 5-lipoxygenase inhibitors, which block leukotriene formation, or cysteinyl leukotriene receptor antagonists, which block receptor function. LTC₄ synthase is another key step in biosynthesis of leukotrienes and represents another possible site for therapeutic intervention. Drugs targeting leukotriene biosynthesis are being tested and used for their utility in the treatment of various inflammatory conditions.

Most of these drugs are efficacious in providing relief but all available agents have associated, and sometimes severe, toxicity. Certain individuals display intolerance to aspirin and to other drugs acting on arachidonic acid metabolism; this is manifest by symptoms that range from liver toxicity, gastric and intestinal ulceration, disturbance in platelet function, renal injury, nephritis, vasomotor rhinitis with profuse watery secretions, angioneurotic edema, generalized urticaria, and bronchial asthma to laryngeal edema and bronchoconstriction, hypotension, and shock. The underlying mechanism for these severe side effects is not known. Moreover, while these agents have been highly useful for treatment of acute, self-limited inflammatory conditions; their ability to modify disease progression in chronic inflammatory settings remains an area of controversy. The complexity of the highly regulated pathways and enzymes that lead to the formation of the eicosanoids, has limited the precise identification of the metabolites and enzymes in the arachidonic acid cascade, which play the causal role in pathologies or in side effects to some drugs.

Pharmacogenomics and Arachidonic Acid Metabolism

The vast majority of common diseases, such as cancer, hypertension, diabetes and some inflammatory diseases are polygenic, meaning that they are caused by multiple genes. In addition, these diseases are modulated by environmental factors such as pollutants, chemicals and diet. This is why many diseases are called multifactorial; they result from a synergistic combination of factors, both genetic and environmental. Therapeutic management and drug development could be markedly improved by the identification of specific genetic polymorphisms that determine and predict patient susceptibility to diseases or patient responses to drugs.

To assess the origins of individual variations in disease susceptibility or drug response, pharmacogenomics uses the genomic technologies to identify polymorphisms within genes which are part of biological pathways involved in disease susceptibility, etiology, and development, or more specifically in drug response pathways responsible for a drug's efficacy, tolerance or toxicity. It can provide tools to refine the design of drug development by decreasing the incidence of adverse events in drug tolerance studies, by better defining patient subpopulations of responders and non-responders in efficacy studies and, by combining the results obtained therefrom, to further allow better enlightened individualized drug usage based on efficacy/tolerance prognosis. Pharmacogenomics can also provide tools to identify new targets for designing drugs and to optimize the use of already existing drugs, in order to either increase their response rate and/or exclude non-responders from corresponding treatment, or decrease their undesirable side effects and/or exclude from corresponding treatment patients with marked susceptibility to undesirable side effects. However, for pharmacogenomics to become clinically useful on a large scale, molecular tools and diagnostics tests must become available.

Inflammatory reactions, which are involved in numerous diseases, are highly relevant to pharmacogenomics both because they are at the core of many widespread serious diseases, and because targeting inflammation pathways to design new efficient drugs includes numerous risks of potentiating serious side effects. Arachidonic acid metabolism is particularly relevant since its products, the eicosanoids, are powerful inflammatory molecules and play a role in a number of physiological functions.

Genetic Analysis of Complex Traits

Until recently, the identification of genes linked with detectable traits has relied mainly on a statistical approach called linkage analysis. Linkage analysis is based upon establishing a correlation between the transmission of genetic markers and that of a specific trait throughout generations within a family. Linkage analysis involves the study of families with multiple affected individuals and is useful in the detection of inherited-traits, which are caused by a single gene, or possibly a very small number of genes. Linkage analysis has been successfully applied to map simple genetic traits that show clear Mendelian inheritance patterns and which have a high penetrance (the probability that a person with a given genotype will exhibit a trait). About 100 pathological trait-causing genes have been discovered using linkage analysis over the last 10 years.

But, linkage studies have proven difficult when applied to complex genetic traits. Most traits of medical relevance do not follow simple Mendelian monogenic inheritance. However, complex diseases often aggregate in families, which suggests that there is a genetic component to be found. Such complex traits are often due to the combined action of multiple genes as well as environmental factors. Such complex trait, include susceptibilities to heart disease, hypertension, diabetes, cancer and inflammatory diseases. Drug efficacy, response and tolerance/toxicity can also be considered as multifactoral traits involving a genetic component in the same way as complex diseases. Linkage analysis cannot be applied to the study of such traits for which no large informative families are available. Moreover, because of their low penetrance, such complex traits do not segregate in a clear-cut Mendelian manner as they are passed from one generation to the next. Attempts to map such diseases have been plagued by inconclusive results, demonstrating the need for more sophisticated genetic tools.

Knowledge of genetic variation in the arachidonic acid cascade is important for understanding why some people are more susceptible to disease involving arachidonic acid metabolites or respond differently to treatments targeting arachidonic acid metabolism. Ways to identify genetic polymorphism and to analyze how they impact and predict disease susceptibility and response to treatment are needed.

Although the genes involved in arachidonic acid metabolism represent major drug targets and are of high relevance to pharmaceutical research, we still have scant knowledge concerning the extent and nature of sequence variation in these genes and their regulatory elements. For example, the cDNA and part of the genomic sequence for human 12-lipoxygenase have been cloned and sequenced (Izumi et al., Proc. Natl. Acad. Sci. USA, 87:7477-7481, 1990; Funk et al., Proc. Natl. Acad. Sci. USA, 87:5638-5642, 1990; Yoshimoto et al., Biochem. Biophys. Res. Commun., 172:1230-1235, 1990, Yoshimoto, et al., J. Biol. Chem., 267:24805-24809, 1992). However, the complete genomic sequence of the 12-lipoxygenase, including its regulatory elements, have not been described.

In the cases where polymorphisms have been identified, the relevance of the variation is rarely understood. While polymorphisms hold promise for use as genetic markers in determining which genes contribute to multigenic or quantitative traits, suitable markers and suitable methods for exploiting those markers have not been found and brought to bare on the genes related to arachidonic acid metabolism.

SUMMARY OF THE INVENTION

The present invention is based on the discovery of a set of novel eicosanoid-related biallelic markers. See Table 7(A-B). These markers are located in the coding regions as well as non-coding regions adjacent to genes which express proteins associated with arachidonic acid metabolism. The position of these markers and knowledge of the surrounding sequence has been used to design polynucleotide compositions which are useful in determining the identity of nucleotides at the marker position, as well as more complex association and haplotyping studies which are useful in determining the genetic basis for disease states involving arachidonic acid metabolism. In addition, the compositions and methods of the invention find use in the identification of the targets for the development of pharmaceutical agents and diagnostic methods, as well as the characterization of the differential efficacious responses to and side effects from pharmaceutical agents acting on arachidonic acid metabolism.

The present invention further stems from the isolation and characterization of the genomic sequence of the 12-lipoxygenase gene including its regulatory regions and of the complete cDNA sequence encoding the 12-lipoxygenase enzyme. Oligonucleotide probes and primers hybridizing specifically with a genomic sequence of 12-lipoxygenase are also part of the invention. Furthermore, an object of the invention consists of recombinant vectors comprising any of the nucleic acid sequences described in the present invention, and in particular of recombinant vectors comprising the promoter region of 12-lipoxygenase or a sequence encoding the 12-lipoxygenase enzyme, as well as cell hosts comprising said nucleic acid sequences or recombinant vectors. The invention also encompasses methods of screening of molecules which, modulate or inhibit the expression of the 12-lipoxygenase gene. The invention is also directed to biallelic markers that are located within the 12-lipoxygenase genomic sequence, these biallelic markers representing useful tools in order to identify a statistically significant association between specific alleles of 12-lipoxygenase gene and one or several disorders related to asthma and/or hepatotoxicity.

A first embodiment of the invention encompasses polynucleotides consisting of, consisting essentially of, or comprising a contiguous span of nucleotides of a sequence selected as an individual or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof, wherein said contiguous span is at least 6, 8, 10, 12, 15, 20, 25, 30, 35, 40, 50, 75, 100, 200, 500, or 1000 nucleotides in length, to the extent that such a length is consistent with the lengths of the particular Sequence ID. The present invention also relates to polynucleotides hybridizing under stringent or intermediate conditions to a sequence selected as an individual or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof. In addition, the polynucleotides of the invention encompass polynucleotides with any further limitation described in this disclosure, or those following, specified alone or in any combination: Said contiguous span may optionally include the eicosanoid-related biallelic marker in said sequence; Optionally either the original or the alternative allele of Table 9 may be specified as being present at said eicosanoid-related biallelic marker; Optionally either the first or the second allele of Tables 8 or 10 may be specified as being present at said eicosanoid-related biallelic marker; Optionally, said polynucleotide may consists of, or consist essentially of a contiguous span which ranges in length from 8, 10, 12, 15, 18 or 20 to 25, 35, 40, 50, 60, 70, or 80 nucleotides, or be specified as being 12, 15, 18, 20, 25, 35, 40, or 50 nucleotides in length and including an eicosanoid-related biallelic marker of said sequence, and optionally the original allele of Table 9 is present at said biallelic marker; Optionally, said biallelic marker may be within 6, 5, 4, 3, 2, or 1 nucleotides of the center of said polynucleotide or at the center of said polynucleotide; Optionally, the 3′ end of said contiguous span may be present at the 3′ end of said polynucleotide; Optionally, biallelic marker may be present at the 3′ end of said polynucleotide; Optionally, the 3′ end of said polynucleotide may be located within or at least 2, 4, 6, 8, 10, 12, 15, 18, 20, 25, 50, 100, 250, 500, or 1000 nucleotides upstream of an eicosanoid-related biallelic marker in said sequence, to the extent that such a distance is consistent with the lengths of the particular Sequence ID; Optionally, the 3′ end of said polynucleotide may be located 1 nucleotide upstream of an eicosanoid-related biallelic marker in said sequence; and Optionally, said polynucleotide may further comprise a label.

A second embodiment of the invention encompasses any polynucleotide of the invention attached to a solid support. In addition, the polynucleotides of the invention which are attached to a solid support encompass polynucleotides with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally, said polynucleotides may be specified as attached individually or in groups of at least 2, 5, 8, 10, 12, 15, 20, or 25 distinct polynucleotides of the inventions to a single solid support; Optionally, polynucleotides other than those of the invention may attached to the same solid support as polynucleotides of the invention; Optionally, when multiple polynucleotides are attached to a solid support they may be attached at random locations, or in an ordered array; Optionally, said ordered array may be addressable.

A third embodiment of the invention encompasses the use of any polynucleotide for, or any polynucleotide for use in, determining the identity of one or more nucleotides at an eicosanoid-related biallelic marker. In addition, the polynucleotides of the invention for use in determining the identity of one or more nucleotides at an eicosanoid-related biallelic marker encompass polynucleotides with any further limitation described in this disclosure, or those following, specified alone or in any combination. Optionally, said eicosanoid-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; Optionally, said polynucleotide may comprise a sequence disclosed in the present specification; Optionally, said polynucleotide may consist of, or consist essentially of any polynucleotide described in the present specification; Optionally, said determining may be performed in a hybridization assay, sequencing assay, microsequencing assay, or an enzyme-based mismatch detection assay; Optionally, said polynucleotide may be attached to a solid support, array, or addressable array; Optionally, said polynucleotide may be labeled.

A fourth embodiment of the invention encompasses the use of any polynucleotide for, or any polynucleotide for use in, amplifying a segment of nucleotides comprising an eicosanoid-related biallelic marker. In addition, the polynucleotides of the invention for use in amplifying a segment of nucleotides comprising an eicosanoid-related biallelic marker encompass polynucleotides with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally, said eicosanoid-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; Optionally, said polynucleotide may comprise a sequence disclosed in the present specification; Optionally, said polynucleotide may consist of, or consist essentially of any polynucleotide described in the present specification; Optionally, said amplifying may be performed by a PCR or LCR. Optionally, said polynucleotide may be attached to a solid support, array, or addressable array. Optionally, said polynucleotide may be labeled.

A fifth embodiment of the invention encompasses methods of genotyping a biological sample comprising determining the identity of a nucleotide at an eicosanoid-related biallelic marker. In addition, the genotyping methods of the invention encompass methods with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally, said eicosanoid-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; Optionally, said method further comprises determining the identity of a second nucleotide at said biallelic marker, wherein said first nucleotide and second nucleotide are not base paired (by Watson & Crick base pairing) to one another; Optionally, said biological sample is derived from a single individual or subject; Optionally, said method is performed in vitro; Optionally, said biallelic marker is determined for both copies of said biallelic marker present in said individual's genome; Optionally, said biological sample is derived from multiple subjects or individuals; Optionally, said method further comprises amplifying a portion of said sequence comprising the biallelic marker prior to said determining step; Optionally, wherein said amplifying is performed by PCR, LCR, or replication of a recombinant vector comprising an origin of replication and said portion in a host cell; Optionally, wherein said determining is performed by a hybridization assay, sequencing assay, microsequencing assay, or an enzyme-based mismatch detection assay.

A sixth embodiment of the invention comprises methods of estimating the frequency of an allele in a population comprising genotyping individuals from said population for an eicosanoid-related biallelic marker and determining the proportional representation of said biallelic marker in said population. In addition, the methods of estimating the frequency of an allele in a population of the invention encompass methods with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally, said eicosanoid-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; Optionally, determining the frequency of a biallelic marker allele in a population may be accomplished by determining the identity of the nucleotides for both copies of said biallelic marker present in the genome of each individual in said population and calculating the proportional representation of said nucleotide at said eicosanoid-related biallelic marker for the population; Optionally, determining the frequency of a biallelic marker allele in a population may be accomplished by performing a genotyping method on a pooled biological sample derived from a representative number of individuals, or each individual, in said population, and calculating the proportional amount of said nucleotide compared with the total.

A seventh embodiment of the invention comprises methods of detecting an association between an allele and a phenotype, comprising the steps of a) determining the frequency of at least one eicosanoid-related biallelic marker allele in a case population, b) determining the frequency of said eicosanoid-related biallelic marker allele in a control population and; c) determining whether a statistically significant association exists between said genotype and said phenotype. In addition, the methods of detecting an association between an allele and a phenotype of the invention encompass methods with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally, said eicosanoid-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; Optionally, said control population may be a trait negative population, or a random population; Optionally, each of steps a) and b) is performed on a single pooled biological sample derived from each of said populations; Optionally, each of said steps a) and b) is performed on a single pooled biological sample derived from each of said populations; Optionally, each of said steps a) and b) is performed separately on biological samples derived from each individual in said populations; Optionally, said phenotype is a disease involving arachidonic acid metabolism, a response to an agent acting on arachidonic acid metabolism, or a side effects to an agent acting on arachidonic acid metabolism; Optionally, the identity of the nucleotides at the biallelic markers in everyone of the following sequences: SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300 is determined in steps a) and b).

An eighth embodiment of the present invention encompasses methods of estimating the frequency of a haplotype for a set of biallelic markers in a population, comprising the steps of: a) genotyping each individual in said population for at least one eicosanoid-related biallelic marker, b) genotyping each individual in said population for a second biallelic marker by determining the identity of the nucleotides at said second biallelic marker for both copies of said second biallelic marker present in the genome; and c) applying a haplotype determination method to the identities of the nucleotides determined in steps a) and b) to obtain an estimate of said frequency. In addition, the methods of estimating the frequency of a haplotype of the invention encompass methods with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally said haplotype determination method is selected from the group consisting of asymmetric PCR amplification, double PCR amplification of specific alleles, the Clark method, or an expectation maximization algorithm; Optionally, said second biallelic marker is an eicosanoid-related biallelic marker in a sequence selected from the group consisting of the biallelic markers of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; Optionally, the identity of the nucleotides at the biallelic markers in everyone of the sequences: SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300 is determined in steps a) and b).

A ninth embodiment of the present invention encompasses methods of detecting an association between a haplotype and a phenotype, comprising the steps of: a) estimating the frequency of at least one haplotype in a case population according to a method of estimating the frequency of a haplotype of the invention; b) estimating the frequency of said haplotype in a control population according to the method of estimating the frequency of a haplotype of the invention; and c) determining whether a statistically significant association exists between said haplotype and said phenotype. In addition, the methods of detecting an association between a haplotype and a phenotype of the invention encompass methods with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally, said eicosanoid-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; Optionally, said control population may be a trait negative population, or a random population; Optionally, said phenotype is a disease involving arachidonic acid metabolism, a response to an agent acting on arachidonic acid metabolism, or a side effects to an agent acting on arachidonic acid metabolism; Optionally, the identity of the nucleotides at the biallelic markers in everyone of the following sequences: SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300 is included in the estimating steps a) and b).

A tenth embodiment of the present invention is a method of administering a drug or a treatment comprising the steps of: a) obtaining a nucleic acid sample from an individual; b) determining the identity of the polymorphic base of at least one eicosanoid-related biallelic marker or 12-LO-related biallelic marker according to the methods taught herein which is associated with a positive response to said drug or treatment, or at least one eicosanoid-related marker or 12-LO-related biallelic marker or which is associated with a negative response to said drug or treatment; and c) administering said drug or treatment to said individual if said nucleic acid sample contains at least one biallelic marker associated with a positive response to said drug or treatment, or if said nucleic acid sample lacks at least one biallelic marker associated with a negative response to said drug or treatment. In addition, the methods of the present invention for administering a drug or a treatment encompass methods with any further limitation described in this disclosure, or those following, specified alone or in any combination: optionally, said eicosanoid-related biallelic marker or 12-LO-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof; or optionally, the administering step comprises administering the drug or the treatment to the individual if the nucleic acid sample contains said biallelic marker associated with a positive response to the treatment or the drug and the nucleic acid sample lacks said biallelic marker associated with a negative response to the treatment or the drug.

An eleventh embodiment of the present invention is a method of selecting an individual for inclusion in a clinical trial of a treatment or drug comprising the steps of: a) obtaining a nucleic acid sample from an individual; b) determining the identity of the polymorphic base of at least one eicosanoid-related biallelic marker or 12-LO-related biallelic marker which is associated with a positive response to the treatment or the drug, or at least one eicosanoid-related biallelic marker or 12-LO-related biallelic marker which is associated with a negative response to the treatment or the drug in the nucleic acid sample, and c) including the individual in the clinical trial if the nucleic acid sample contains said eicosanoid-related biallelic marker or 12-LO-related biallelic marker associated with a positive response to the treatment or the drug or if the nucleic acid sample lacks said biallelic marker associated with a negative response to the treatment or the drug. In addition, the methods of the present invention for selecting an individual for inclusion in a clinical trial of a treatment or drug encompass methods with any further limitation described in this disclosure, or those following, specified alone or in any combination: Optionally, said eicosanoid-related biallelic marker or 12-LO-related biallelic marker may be in a sequence selected individually or in any combination from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof, preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof, or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof.

Additional embodiments are set forth in the Detailed Description of the Invention and in the Examples.

BRIEF DESCRIPTION OF THE TABLES

Table 1 contains the first five markers listed in the sequence listing and their corresponding SEQ ID numbers.

Tables 2A-C are a list of 12-LO-related biallelic markers.

Table 3 is a listing of currently available forensic testing systems and their characteristics as compared to the method of the invention.

Table 4 sets forth the number of biallelic markers (VNTRs) needed to obtain, in mean, a ratio of at least 10⁶ or 10⁸.

Table 5 provides an indication of the descriminatory potential of the systems of the invention.

Table 6 is a listing of probabilities for several different types of relationships and likelihood ratios.

Table 7A is a chart containing a list of all of the eicosanoid-related biallelic markers for each gene with an indication of the gene for which the marker is in closest physical proximity, an indication of whether the markers have been validated by microsequencing (with a Y indicating that the markers have been validated by microsequencing and an N indicating that it has not), and an indication of the identity and frequency of the least common allele determined by genotyping (with a blank left to indicate that the frequency has not yet been reported for some markers). The frequencies were determined from DNA samples collected from a random US Caucasian population. When the marker was determined to be homozygous at the particular location for the random US Caucasian population, the homozygous bases were recorded in the “Genotyping Least Common Allele Frequency” column of Table 7A. For example, Seq. ID No. 16 was determined to be homozygous G/G at the biallelic marker position 478 in the US control population, therefore G/G was recorded in the “Genotyping Least Common Allele Frequency” column.

Table 7B contains all of the eicosanoid-related biallelic markers provided in Table 7A; however, they are provided in shorter, easier to search sequences of 47 nucleotides. Accordingly, Table 7A begins with SEQ ID No. 1 and ends with SEQ ID No. 654, while Table 7B begins with SEQ ID No. 655 and ends with SEQ ID No. 1604 (SEQ ID Nos. 651-654 correspond to the genomic and protein sequences of the invention and are not repeated in Table 7B). Table 1 contains the first five markers listed in the sequence listing and their corresponding SEQ ID numbers in Tables 7A and 7B to illustrate the relationship between Tables 7A and 7B: TABLE 1 BIALLELIC BIALLELIC MARKER SEQ ID MARKER SEQ ID NO. POSITION NO. IN POSITION BIALLELIC IN TABLE IN SEQ TABLE IN SEQ MARKER ID 7A ID NO. 7B ID NO. 10-253-118 1 478 655 24 10-253-298 2 478 656 24 10-253-315 3 478 657 24 10-499-155 4 478 658 24 10-520-256 5 478 659 24 Table 7B is the same as Table 7A in that it is a list of all of the eicosanoid-related biallelic markers for each gene with an indication of the gene for which the marker is in closest physical proximity, an indication of whether the markers have been validated by microsequencing (with a Y indicating that the markers have been validated by microsequencing and an N indicating that it has not), and an indication of the identity and frequency of the least common allele determined by genotyping (with a blank left to indicate that the frequency has not yet been reported for some markers). However, the “Biallelic Marker Position in SEQ ID No.” for all of the eicosanoid-related biallelic markers provided in Table 7B is position 24 (representing the midpoint of the 47mers that make up Table 7B). The frequencies were determined from DNA samples collected from a random US Caucasian population. When the marker was determined to be homozygous at the particular location for the random US Caucasian population, the homozygous bases were recorded in the “Genotyping Least Common Allele Frequency” column of Table 7B. For example, Seq. ID No. 670 was determined to be homozygous G/G at the biallelic marker position 24 in the US control population, therefore G/G was recorded in the “Genotyping Least Common Allele Frequency” column.

Tables 8, 9, and 10 are charts containing lists of the eicosanoid-related biallelic markers. Each marker is described by indicating its SEQ ID, the biallelic marker ID, and the two most common alleles. Table 8 is a chart containing a list of biallelic markers surrounded by preferred sequences. In the column labeled, “POSITION RANGE OF PREFERRED SEQUENCE” of Table 8 regions of particularly preferred sequences are listed for each SEQ ID, which contain an eicosanoid-related biallelic marker, as well as particularly preferred regions of sequences that do not contain an eicosanoid-related biallelic marker but, which are in sufficiently close proximity to an eicosanoid-related biallelic marker to be useful as amplification or sequencing primers.

Table 11 is a chart listing particular sequences that are useful for designing some of the primers and probes of the invention. Each sequence is described by indicating its Sequence ID and the positions of the first and last nucleotides (position range) of the particular sequence in the Sequence ID.

Table 12 is a chart listing microsequencing primers which have been used to genotype eicosanoid-related biallelic markers (indicated by an *) and other preferred microsequencing primers for use in genotyping eicosanoid-related biallelic markers. Each of the primers which falls within the strand of nucleotides included in the Sequence Listing are described by indicating their Sequence ID number and the positions of the first and last nucleotides (position range) of the primers in the Sequence ID. Since the sequences in the Sequence Listing are single stranded and half the possible microsequencing primers are composed of nucleotide sequences from the complementary strand, the primers that are composed of nucleotides in the complementary strand are described by indicating their SEQ ID numbers and the positions of the first and last nucleotides to which they are complementary (complementary position range) in the Sequence ID.

Table 13 is a chart listing amplification primers which have been used to amplify polynucleotides containing one or more eicosanoid-related biallelic markers. Each of the primers which falls within the strand of nucleotides included in the Sequence Listing are described by indicating their Sequence ID number and the positions of the first and last nucleotides (position range) of the primers in the Sequence ID. Since the sequences in the Sequence Listing are single stranded and half the possible amplification primers are composed of nucleotide sequences from the complementary strand, the primers that are composed of nucleotides in the complementary strand are defined by the SEQ ID numbers and the positions of the first and last nucleotides to which they are complementary (complementary position range) in the Sequence ID.

Table 14 is a chart listing preferred probes useful in genotyping eicosanoid-related biallelic markers by hybridization assays. The probes are 25-mers with an eicosanoid-related biallelic marker in the center position, and described by indicating their Sequence ID number and the positions of the first and last nucleotides (position range) of the probes in the Sequence ID. The probes complementary to the sequences in each position range in each Sequence ID are also understood to be a part of this preferred list even though they are not specified separately.

Table 15 is a table showing the results of the association study between biallelic marker haplotypes from the FLAP gene and asthma.

Table 16 is a table showing the results of the permutation test confirming the statistical significance of the association between asthma and biallelic marker haplotypes from the FLAP gene.

Table 17 is a table showing the results of the association study between 12 biallelic marker haplotypes from the 12-LO gene and asthma.

Table 18A is a table showing the results of allele frequency analysis between seventeen 12-LO biallelic markers and asthma.

Table 18B is a table showing the results of the association study between seventeen 12-LO biallelic marker haplotypes from the 12-LO gene and asthma.

Table 19 is a table showing the results of the association study between 12 biallelic marker haplotypes from the 12-LO gene and hepatotoxicity upon treatment with zileuton.

Table 20A is a table showing the results of the allele frequency analysis between seventeen 12-LO biallelic markers and hepatotoxicity upon treatment with zileuton.

Table 20B is a table showing the results of the association study between seventeen 12-LO biallelic marker haplotypes from the 12-LO gene and hepatotoxicity upon treatment with zileuton.

Table 21 is a table showing a summary of the association study results, permutation tests confirming the statistical significance of the association between asthma and biallelic marker haplotypes from the 12-LO gene, and permutation tests confirming the statistical significance of the association between secondary effects upon treatment with zileuton and biallelic marker haplotypes from the 12-LO gene.

Table 22 is a table showing a summary of the association study results, permutation tests confirming the statistical significance of the association between asthma and additional biallelic marker haplotypes from the 12-LO gene, and permutation tests confirming the statistical significance of the association between secondary effects upon treatment with zileuton and biallelic marker haplotypes from the 12-LO gene.

Table 23 is a chart containing a list of preferred 12-LO-related biallelic markers with an indication of the frequency of the least common allele determined by genotyping. Frequencies were determined in a random US Caucasian population, in an asthmatic population showing no side effects upon treatment with Zyflo™ (ALT−) and in an asthmatic population showing elevated alanine aminotransferase levels upon treatment with Zyflo™ (ALT+).

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram showing the genomic structure of the FLAP gene and the positions of biallelic markers in close proximity of this gene.

FIG. 2 is a graph showing the results of the single point association study between biallelic markers from the FLAP gene and asthma.

FIG. 3 is a diagram showing the genomic structure of the 12-lipoxygenase gene and the positions of biallelic markers in close proximity of this gene.

DETAILED DESCRIPTION OF THE INVENTION

Advantages of the Biallelic Markers of the Present Invention

The eicosanoid-related biallelic markers of the present invention offer a number of important advantages over other genetic markers such as RFLP (Restriction fragment length polymorphism) and VNTR (Variable Number of Tandem Repeats) markers.

The first generation of markers, were RFLPs, which are variations that modify the length of a restriction fragment. But methods used to identify and to type RFLPs are relatively wasteful of materials, effort, and time. The second generation of genetic markers were VNTRs, which can be categorized as either minisatellites or microsatellites. Minisatellites are tandemly repeated DNA sequences present in units of 5-50 repeats which are distributed along regions of the human chromosomes ranging from 0.1 to 20 kilobases in length. Since they present many possible alleles, their informative content is very high. Minisatellites are scored by performing Southern blots to identify the number of tandem repeats present in a nucleic acid sample from the individual being tested. However, there are only 10⁴ potential VNTRs that can be typed by Southern blotting. Moreover, both RFLP and VNTR markers are costly and time-consuming to develop and assay in large numbers.

Single nucleotide polymorphism or biallelic markers can be used in the same manner as RFLPs and VNTRs but offer several advantages. Single nucleotide polymorphisms are densely spaced in the human genome and represent the most frequent type of variation. An estimated number of more than 10⁷ sites are scattered along the 3×10⁹ base pairs of the human genome. Therefore, single nucleotide polymorphism occur at a greater frequency and with greater uniformity than RFLP or VNTR markers which means that there is a greater probability that such a marker will be found in close proximity to a genetic locus of interest. Single nucleotide polymorphisms are less variable than VNTR markers but are mutationally more stable.

Also, the different forms of a characterized single nucleotide polymorphism, such as the biallelic markers of the present invention, are often easier to distinguish and can therefore be typed easily on a routine basis. Biallelic markers have single nucleotide based alleles and they have only two common alleles, which allows highly parallel detection and automated scoring. The biallelic markers of the present invention offer the possibility of rapid, high-throughput genotyping of a large number of individuals.

Biallelic markers are densely spaced in the genome, sufficiently informative and can be assayed in large numbers. The combined effects of these advantages make biallelic markers extremely valuable in genetic studies. Biallelic markers can be used in linkage studies in families, in allele sharing methods, in linkage disequilibrium studies in populations, in association studies of case-control populations. An important aspect of the present invention is that biallelic markers allow association studies to be performed to identify genes involved in complex traits. Association studies examine the frequency of marker alleles in unrelated case- and control-populations and are generally employed in the detection of polygenic or sporadic traits. Association studies may be conducted within the general population and are not limited to studies performed on related individuals in affected families (linkage studies). Biallelic markers in different genes can be screened in parallel for direct association with disease or response to a treatment. This multiple gene approach is a powerful tool for a variety of human genetic studies as it provides the necessary statistical power to examine the synergistic effect of multiple genetic factors on a particular phenotype, drug response, sporadic trait, or disease state with a complex genetic etiology.

Candidate Genes of the Present Invention

Different approaches can be employed to perform association studies: genome-wide association studies, candidate region association studies and candidate gene association studies. Genome-wide association studies rely on the screening of genetic markers evenly spaced and covering the entire genome. Candidate region association studies rely on the screening of genetic markers evenly spaced covering a region identified as linked to the trait of interest. The candidate gene approach is based on the study of genetic markers specifically derived from genes potentially involved in a biological pathway related to the trait of interest. In the present invention, genes involved in arachidonic acid metabolism have been chosen as candidate genes. This metabolic pathway leads to the biosynthesis of eicosanoids, which are chemical mediators that play an important role in a number of inflammatory diseases, moreover, these pathways are important drug targets and genetic polymorphisms in these genes are highly relevant in the response to a number of drugs. The candidate gene analysis clearly provides a short-cut approach to the identification of genes and gene polymorphisms related to a particular trait when some information concerning the biology of the trait is available as is the case for arachidonic acid metabolism. However, it should be noted that all of the biallelic markers disclosed in the instant application can be employed as part of genome-wide association studies or as part of candidate region association studies and such uses are specifically contemplated in the present invention and claims. All of the markers are known to be in close proximity to the genes with which they are listed in Table 7. For a portion of the markers, the precise position of the marker with respect to the various coding and non-coding elements of the genes has also been determined.

Definitions

As used interchangeably herein, the terms “oligonucleotides”, “nucleic acids” and “polynucleotides” include RNA, DNA, or RNA/DNA hybrid sequences of more than one nucleotide in either single chain or duplex form. The term “nucleotide” as used herein as an adjective to describe molecules comprising RNA, DNA, or RNA/DNA hybrid sequences of any length in single-stranded or duplex form. The term “nucleotide” is also used herein as a noun to refer to individual nucleotides or varieties of nucleotides, meaning a molecule, or individual unit in a larger nucleic acid molecule, comprising a purine or pyrimidine, a ribose or deoxyribose sugar moiety, and a phosphate group, or phosphodiester linkage in the case of nucleotides within an oligonucleotide or polynucleotide. Although the term “nucleotide” is also used herein to encompass “modified nucleotides” which comprise at least one modifications (a) an alternative linking group, (b) an analogous form of purine, (c) an analogous form of pyrimidine, or (d) an analogous sugar, for examples of analogous linking groups, purine, pyrimidines, and sugars see for example PCT publication No. WO 95/04064. However, the polynucleotides of the invention are preferably comprised of greater than 50% conventional deoxyribose nucleotides, and most preferably greater than 90% conventional deoxyribose nucleotides. The polynucleotide sequences of the invention may be prepared by any known method, including synthetic, recombinant, ex vivo generation, or a combination thereof, as well as utilizing any purification methods known in the art.

Throughout the present specification, the expression “nucleotide sequence” may be employed to designate indifferently a polynucleotide or a nucleic acid. More precisely, the expression “nucleotide sequence” encompasses the nucleic material itself and is thus not restricted to the sequence information (i.e. the succession of letters chosen among the four base letters) that biochemically characterizes a specific DNA or RNA molecule.

The term “polypeptide” refers to a polymer of amino without regard to the length of the polymer; thus, peptides, oligopeptides, and proteins are included within the definition of polypeptide. This term also does not specify or exclude prost-expression modifications of polypeptides, for example, polypeptides which include the covalent attachment of glycosyl groups, acetyl groups, phosphate groups, lipid groups and the like are expressly encompassed by the term polypeptide. Also included within the definition are polypeptides which contain one or more analogs of an amino acid (including, for example, non-naturally occurring amino acids, amino acids which only occur naturally in an unrelated biological system, modified amino acids from mammalian systems etc.), polypeptides with substituted linkages, as well as other modifications known in the art, both naturally occurring and non-naturally occurring.

The term “recombinant polypeptide” is used herein to refer to polypeptides that have been artificially designed and which comprise at least two polypeptide sequences that are not found as contiguous polypeptide sequences in their initial natural environment, or to refer to polypeptides which have been expressed from a recombinant polynucleotide.

As used herein, the term “isolated” requires that the material be removed from its original environment (e.g., the natural environment if it is naturally occurring). For example, a naturally-occurring polynucleotide present in a living animal is not isolated, but the same polynucleotide, separated from some or all of the coexisting materials in the natural system, is isolated. Specifically excluded from the definition of “isolated” are: naturally occurring chromosomes (e.g., chromosome spreads) artificial chromosome libraries, genomic libraries, and cDNA libraries that exist either as an in vitro nucleic acid preparation or as a transfected/transformed host cell preparation, wherein the host cells are either an in vitro heterogeneous preparation or plated as a heterogeneous population of single colonies. Also specifically excluded are the above libraries wherein the 5′ EST makes up less than 5% of the number of nucleic acid inserts in the vector molecules. Further specifically excluded are whole cell genomic DNA or whole cell RNA preparations (including said whole cell preparations which are mechanically sheared or enzymaticly digested). Further specifically excluded are the above whole cell preparations as either an in vitro preparation or as a heterogeneous mixture separated by electrophoresis (including blot transfers of the same) wherein the polynucleotide of the invention have not been further separated from the heterologous polynucleotides in the electrophoresis medium (e.g., further separating by excising a single band from a heterogeneous band population in an agarose gel or nylon blot).

As used herein, the term “purified” does not require absolute purity; rather, it is intended as a relative definition. Individual 5′ EST clones isolated from a cDNA library have been conventionally purified to electrophoretic homogeneity. The sequences obtained from these clones could not be obtained directly either from the library or from total human DNA. The cDNA clones are not naturally occurring as such, but rather are obtained via manipulation of a partially purified naturally occurring substance (messenger RNA). The conversion of mRNA into a cDNA library involves the creation of a synthetic substance (cDNA) and pure individual cDNA clones can be isolated from the synthetic library by clonal selection. Thus, creating a cDNA library from messenger RNA and subsequently isolating individual clones from that library results in an approximately 10⁴-10⁶ fold purification of the native message. Purification of starting material or natural material to at least one order of magnitude, preferably two or three orders, and more preferably four or five orders of magnitude is expressly contemplated. Alternatively, purification may be expressed as “at least” a percent purity relative to heterologous polynucleotides (DNA, RNA or both). As a preferred embodiment, the polynucleotides of the present invention are at least; 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 95%, 96%, 96%, 98%, 99%, or 100% pure relative to heterologous polynucleotides. As a further preferred embodiment the polynucleotides have an “at least” purity ranging from any number, to the thousandth position, between 90% and 100% (e.g., 5′ EST at least 99.995% pure) relative to heterologous polynucleotides. Additionally, purity of the polynucleotides may be expressed as a percentage (as described above) relative to all materials and compounds other than the carrier solution. Each number, to the thousandth position, may be claimed as individual species of purity. The term “primer” denotes a specific oligonucleotide sequence which is complementary to a target nucleotide sequence and used to hybridize to the target nucleotide sequence. A primer serves as an initiation point for nucleotide polymerization catalyzed by DNA polymerase, RNA polymerase or reverse transcriptase.

The term “probe” denotes a defined nucleic acid segment (or nucleotide analog segment, e.g., polynucleotide as defined herein) which can be used to identify a specific polynucleotide sequence present in samples, said nucleic acid segment comprising a nucleotide sequence complementary of the specific polynucleotide sequence to be identified.

The term “disease involving arachidonic acid metabolism” refers to a condition linked to disturbances in expression, production or cellular response to eicosanoids such as prostaglandins, thromboxanes, prostacyclins, leukotrienes or hydroperoxyeicosaetrenoic acids. A disease involving arachidonic acid metabolism further refers to a condition involving one or several enzymes of the distinct enzyme systems contributing to arachidonate metabolism including particularly the cyclooxygenase pathway and the lipoxygenase pathway and the arachadonic acid metabolites of such systems including 12-HETE, 12-HPETE, lipoxins and hepoxolins. “Diseases involving arachidonic acid metabolism” also include chronic inflammatory diseases, acute allergic inflammation and inflammatory conditions such as pain, fever, hypersensitivity, asthma, psoriasis and arthritis. “Diseases involving arachidonic acid metabolism” also include disorders in platelet function, blood pressure, thrombosis, renal function, host defense mechanism, hemostasis, smooth muscle tone, male infertility, primary dysmenorrhea, disorders in parturition, and disorders in tissue injury repair, as well as disorders in cellular function and development. “Diseases involving arachidonic acid metabolism” also include diseases such as gastrointestinal ulceration, coronary and cerebrovascular syndromes, glomerular immune injury and cancer.

The term “agent acting on arachidonic acid metabolism” refers to a drug or a compound modulating the activity or concentration of an enzyme or regulatory molecule involved in arachidonic acid metabolism, including but not limited to cyclooxygenase, prostacyclin synthase, thromboxane synthase, lipoxygenases, 5-lipoxygenase and 5-lipoxygenase activating protein. “Agent acting on arachidonic acid metabolism” further refers to non-steroidal antiinflammatory drugs (NSAIDs), eicosanoid receptor antagonists, eicosanoid analogs, COX-1 inhibitors, COX-2 inhibitors, thromboxane synthase inhibitors, 5-lipoxygenase inhibitors and 5-lipoxygenase activating protein inhibitors. “Agent acting on arachidonic acid metabolism” also refers to compounds modulating the formation and action of eicosanoids such as prostaglandins, prostacyclins, thromboxanes, leukotrienes or hydroperoxyeicosaetrenoic acids.

The terms “response to an agent acting on arachidonic acid metabolism” refer to drug efficacy, including but not limited to ability to metabolize a compound, to the ability to convert a pro-drug to an active drug, and to the pharmacokinetics (absorption, distribution, elimination) and the pharmacodynamics (receptor-related) of a drug in an individual.

The terms “side effects to an agent acting on arachidonic acid metabolism” refer to adverse effects of therapy resulting from extensions of the principal pharmacological action of the drug or to idiosyncratic adverse reactions resulting from an interaction of the drug with unique host factors. “Side effects to an agent acting on arachidonic acid metabolism” include, but are not limited to, adverse reactions such as dermatologic, hematologic or hepatologic toxicities and further includes gastric and intestinal ulceration, disturbance in platelet function, renal injury, nephritis, vasomotor rhinitis with profuse watery secretions, angioneurotic edema, generalized urticaria, and bronchial asthma to laryngeal edema and bronchoconstriction, hypotension, and shock.

The terms “trait” and “phenotype” are used interchangeably herein and refer to any visible, detectable or otherwise measurable property of an organism such as symptoms of, or susceptibility to a disease for example. Typically the terms “trait” or “phenotype” are used herein to refer to symptoms of, or susceptibility to a disease involving arachidonic acid metabolism; or to refer to an individual's response to an agent acting on arachidonic acid metabolism; or to refer to symptoms of, or susceptibility to side effects to an agent acting on arachidonic acid metabolism.

The terms “agent acting on 5-lipoxygenase” refers to a drug or a compound modulating the activity or concentration of the 5-lipoxygenase enzyme such as 5-lipoxygenase inhibitors. “Agent acting on 5-lipoxygenase” also refers to compounds modulating the formation and action of leukotrienes.

The terms “side effects to an agent acting on 5-lipoxygenase” include, but are not limited to, adverse reactions such as dermatologic, hematologic or hepatologic toxicities.

The term “allele” is used herein to refer to variants of a nucleotide sequence. A biallelic polymorphism has two forms. Typically the first identified allele is designated as the original allele whereas other alleles are designated as alternative alleles. Diploid organisms may be homozygous or heterozygous for an allelic form.

The term “heterozygosity rate” is used herein to refer to the incidence of individuals in a population, which are heterozygous at a particular allele. In a biallelic system the heterozygosity rate is on average equal to 2P_(a)(1−P_(a)), where P_(a) is the frequency of the least common allele. In order to be useful in genetic studies a genetic marker should have an adequate level of heterozygosity to allow a reasonable probability that a randomly selected person will be heterozygous.

The term “genotype” as used herein refers the identity of the alleles present in an individual or a sample. In the context of the present invention a genotype preferably refers to the description of the biallelic marker alleles present in an individual or a sample. The term “genotyping” a sample or an individual for a biallelic marker consists of determining the specific allele or the specific nucleotide carried by an individual at a biallelic marker.

The term “mutation” as used herein refers to a difference in DNA sequence between or among different genomes or individuals which has a frequency below 1%.

The term “haplotype” refers to a combination of alleles present in an individual or a sample. In the context of the present invention a haplotype preferably refers to a combination of biallelic marker alleles found in a given individual and which may be associated with a phenotype.

The term “polymorphism” as used herein refers to the occurrence of two or more alternative genomic sequences or alleles between or among different genomes or individuals. “Polymorphic” refers to the condition in which two or more variants of a specific genomic sequence can be found in a population. A “polymorphic site” is the locus at which the variation occurs. A single nucleotide polymorphism is a single base pair change. Typically a single nucleotide polymorphism is the replacement of one nucleotide by another nucleotide at the polymorphic site. Deletion of a single nucleotide or insertion of a single nucleotide, also give rise to single nucleotide polymorphisms. In the context of the present invention “single nucleotide polymorphism” preferably refers to a single nucleotide substitution. Typically, between different genomes or between different individuals, the polymorphic site may be occupied by two different nucleotides.

The terms “biallelic polymorphism” and “biallelic marker” are used interchangeably herein to refer to a polymorphism having two alleles at a fairly high frequency in the population, preferably a single nucleotide polymorphism. A “biallelic marker allele” refers to the nucleotide variants present at a biallelic marker site. Typically the frequency of the less common allele of the biallelic markers of the present invention has been validated to be greater than 1%, preferably the frequency is greater than 10%, more preferably the frequency is at least 20% (i.e. heterozygosity rate of at least 0.32), even more preferably the frequency is at least 30% (i.e. heterozygosity rate of at least 0.42). A biallelic marker wherein the frequency of the less common allele is 30% or more is termed a “high quality biallelic marker.”

The location of nucleotides in a polynucleotide with respect to the center of the polynucleotide are described herein in the following manner. When a polynucleotide has an odd number of nucleotides, the nucleotide at an equal distance from the 3′ and 5′ ends of the polynucleotide is considered to be “at the center” of the polynucleotide, and any nucleotide immediately adjacent to the nucleotide at the center, or the nucleotide at the center itself is considered to be “within 1 nucleotide of the center.” With an odd number of nucleotides in a polynucleotide any of the five nucleotides positions in the middle of the polynucleotide would be considered to be within 2 nucleotides of the center, and so on. When a polynucleotide has an even number of nucleotides, there would be a bond and not a nucleotide at the center of the polynucleotide. Thus, either of the two central nucleotides would be considered to be “within 1 nucleotide of the center” and any of the four nucleotides in the middle of the polynucleotide would be considered to be “within 2 nucleotides of the center”, and so on. For polymorphisms which involve the substitution, insertion or deletion of 1 or more nucleotides, the polymorphism, allele or biallelic marker is “at the center” of a polynucleotide if the difference between the distance from the substituted, inserted, or deleted polynucleotides of the polymorphism and the 3′ end of the polynucleotide, and the distance from the substituted, inserted, or deleted polynucleotides of the polymorphism and the 5′ end of the polynucleotide is zero or one nucleotide. If this difference is 0 to 3, then the polymorphism is considered to be “within 1 nucleotide of the center.” If the difference is 0 to 5, the polymorphism is considered to be “within 2 nucleotides of the center.” If the difference is 0 to 7, the polymorphism is considered to be “within 3 nucleotides of the center,” and so on. For polymorphisms which involve the substitution, insertion or deletion of 1 or more nucleotides, the polymorphism, allele or biallelic marker is “at the center” of a polynucleotide if the difference between the distance from the substituted, inserted, or deleted polynucleotides of the polymorphism and the 3′ end of the polynucleotide, and the distance from the substituted, inserted, or deleted polynucleotides of the polymorphism and the 5′ end of the polynucleotide is zero or one nucleotide. If this difference is 0 to 3, then the polymorphism is considered to be “within 1 nucleotide of the center.” If the difference is 0 to 5, the polymorphism is considered to be “within 2 nucleotides of the center.” If the difference is 0 to 7, the polymorphism is considered to be “within 3 nucleotides of the center,” and so on.

A “promoter” refers to a DNA sequence recognized by the synthetic machinery of the cell required to initiate the specific transcription of a gene.

As used herein, the term “operably linked” refers to a linkage of polynucleotide elements in a functional relationship. For instance, a promoter or enhancer is operably linked to a coding sequence if it affects the transcription of the coding sequence. More precisely, two DNA molecules (such as a polynucleotide containing a promoter region and a polynucleotide encoding a desired polypeptide or polynucleotide) are said to be “operably linked” if the nature of the linkage between the two polynucleotides does not (1) result in the introduction of a frame-shift mutation or (2) interfere with the ability of the polynucleotide containing the promoter to direct the transcription of the coding polynucleotide.

The term “upstream” is used herein to refer to a location, which is toward the 5′ end of the polynucleotide from a specific reference point.

The terms “base paired” and “Watson & Crick base paired” are used interchangeably herein to refer to nucleotides which can be hydrogen bonded to one another be virtue of their sequence identities in a manner like that found in double-helical DNA with thymine or uracil residues linked to adenine residues by two hydrogen bonds and cytosine and guanine residues linked by three hydrogen bonds (See Stryer, L., Biochemistry, 4th edition, 1995).

The terms “complementary” or “complement thereof” are used herein to refer to the sequences of polynucleotides which is capable of forming Watson & Crick base pairing with another specified polynucleotide throughout the entirety of the complementary region. This term is applied to pairs of polynucleotides based solely upon their sequences and not any particular set of conditions under which the two polynucleotides would actually bind.

As used herein, the term “non-human animal” refers to any non-human vertebrate, birds and more usually mammals, preferably primates, farm animals such as swine, goats, sheep, donkeys, and horses, rabbits or rodents, more preferably rats or mice. As used herein, the term “animal” is used to refer to any vertebrate, preferable a mammal. Both the terms “animal” and “mammal” expressly embrace human subjects unless preceded with the term “non-human.”

As used herein, the term “antibody” refers to a polypeptide or group of polypeptides which are comprised of at least one binding domain, where an antibody binding domain is formed from the folding of variable domains of an antibody molecule to form three-dimensional binding spaces with an internal surface shape and charge distribution complementary to the features of an antigenic determinant of an antigen., which allows an immunological reaction with the antigen. Antibodies include recombinant proteins comprising the binding domains, as wells as fragments, including Fab, Fab′, F(ab)₂, and F(ab′)₂ fragments.

As used herein, an “antigenic determinant” is the portion of an antigen molecule, in this case a 12-LO polypeptide, that determines the specificity of the antigen-antibody reaction. An “epitope” refers to an antigenic determinant of a polypeptide. An epitope can comprise as few as 3 amino acids in a spatial conformation which, is unique to the epitope. Generally an epitope consists of at least 6 such amino acids, and more usually at least 8-10 such amino acids. Methods for determining the amino acids which make up an epitope include x-ray crystallography, 2-dimensional nuclear magnetic resonance, and epitope mapping e.g. the Pepscan method described by H. Mario Geysen et al. 1984. Proc. Natl. Acad. Sci. U.S.A. 81:3998-4002; PCT Publication No. WO 84/03564; and PCT Publication No. WO 84/03506, the disclosures of which are incorporated herein by reference in their entireties.

As used herein the term “eicosanoid-related biallelic marker” relates to a set of biallelic markers in linkage disequilibrium with all of the genes disclosed in Table 7(A-B) with the exception of FLAP. All of these genes express proteins that are related to eicosanoid metabolism. The term eicosanoid-related biallelic marker encompasses all of the biallelic markers disclosed in Table 7(A-B), preferably the biallelic markers found in SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300. The preferred eicosanoid-related biallelic marker alleles of the present invention include each one the alleles described in Tables 7, 8, 9, and 10 individually or in groups consisting of all the possible combinations of the alleles included in Tables 7(A-B), 8, 9, and 10, preferably the biallelic markers found in SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300.

As used herein the term “12-LO-related biallelic marker” and “12-lipoxygenase-related biallelic marker” are used interchangeably herein to relate to all biallelic markers in linkage disequilibrium with the biallelic markers of the 12-lipoxygenase gene. The term 12-LO-related biallelic marker includes both the genic and non-genic biallelic markers described in Table 2(a-c).

The term “non-genic” is used herein to describe 12-LO-related biallelic markers, as well as polynucleotides and primers which occur outside the nucleotide positions shown in the human 12-LO genomic sequence of SEQ ID No. 651. The term “genic” is used herein to describe 12-LO-related biallelic markers as well as polynucleotides and primers which do occur in the nucleotide positions shown in the human 12-LO genomic sequence of SEQ ID No 651.

The term “sequence described in Table 7(A-B)” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 7(A-B). The SEQ ID that contains each “sequence described in Table 7(A-B)” is provided in the column labeled, “SEQ ID NO.” The column labeled “Gene” indicates the gene for which the marker is in closest physical proximity, an indication of whether the markers have been validated by microsequencing (with a Y indicating that the markers have been validated by microsequencing and an N indicating that it has not), and an indication of the identity and frequency of the least common allele determined by genotyping (with a blank left to indicate that the frequency has not yet been reported for some markers). The frequencies were determined from DNA samples collected from a random US Caucasian population.

The term “sequence described in Table 7B” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 7B. The SEQ ID that contains each “sequence described in Table 7B” is provided in the column labeled, “SEQ ID NO.” The column labeled “Gene” indicates the gene for which the marker is in closest physical proximity, an indication of whether the markers have been validated by microsequencing (with a Y indicating that the markers have been validated by microsequencing and an N indicating that it has not), and an indication of the identity and frequency of the least common allele determined by genotyping (with a blank left to indicate that the frequency has not yet been reported for some markers). The frequencies were determined from DNA samples collected from a random US Caucasian population. The “Biallelic Marker location in SEQ ID No.” indicates the biallelic marker location within the 47 nucleotide sequence. In Table 7B, this location is 24 for all of the markers.

The term “sequence described in Table 8” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 8. The SEQ If) that contains each “sequence described in Table 8” is provided in the column labeled, “SEQ ID NO.” The range of nucleotide positions within the Sequence if) of which each sequence consists is provided in the same row as the Sequence ID in a column labeled, “POSITION RANGE OF PREFERRED SEQUENCE”. It should be noted that some of the Sequence ID numbers have multiple sequence ranges listed, because they contain multiple “sequences described in Table 8.” Unless otherwise noted the term “sequence described in Table 8” is to be construed as encompassing sequences that contain either of the two alleles listed in the columns labeled, “1^(ST) ALLELE” and “2^(ND) ALLELE” at the position identified in field <222> of the allele feature in the appended Sequence Listing for each Sequence ID) number referenced in Table 8. For all inventions which relate to biallelic markers or sequences described in Table 8, a preferred set of markers or sequences excludes Sequence if) Nos. 1-10, 19, 23-25, and 647-650.

The term “sequence described in Table 9” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 9. Unless otherwise noted, the “sequences described in Table 9” consist of the entire sequence of each Sequence ID provided in the column labeled, “SEQ ID NO.” Also unless otherwise noted the term “sequence described in Table 9” is to be construed as encompassing sequences that contain either of the two alleles listed in the columns labeled, “ORIGINAL ALLELE” and “ALTERNATIVE ALLELE” at the position identified in field <222> of the allele feature in the appended Sequence Listing for each Sequence ID) number referenced in Table 9. For all inventions which relate to biallelic markers or sequences described in Table 9, a preferred set of markers or sequences excludes Sequence ID Nos. 11-18 and 20-21.

The term “sequence described in Table 10” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 10. Unless otherwise noted, the “sequences described in Table 10” consist of the entire sequence of each Sequence ID provided in the column labeled, “SEQ ID NO.” Also unless otherwise noted the term “sequence described in Table 10” is to be construed as encompassing sequences that contain either of the two alleles listed in the columns labeled, “1^(ST) ALLELE” and “2^(ND) ALLELE” at the position identified in field <222> of the allele feature in the appended Sequence Listing for each Sequence ID number referenced in Table 10. For all inventions which relate to biallelic markers or sequences described in Table 8, a preferred set of markers or sequences excludes Sequence ID No. 22.

The term “sequence described in Table 11” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 11. The SEQ ID that contains each “sequence described in Table 11” is provided in the column labeled, “SEQ ID NO.” The range of nucleotide positions within the Sequence ID of which each sequence consists is provided in the same row as the Sequence ID in a column labeled, “POSITION RANGE OF PREFERRED SEQUENCE”. It should be noted that some of the Sequence ID numbers have multiple sequence ranges listed, because they contain multiple “sequences described in Table 11.”

The term “sequence described in Table 12” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 12. The SEQ ID that contains each “sequence described in Table 12” is provided in the column labeled “SEQ ID.” The range of nucleotide positions within the Sequence I) of which half of the sequences consists is provided in the same row as the Sequence ID in a column labeled, “POSITION RANGE OF MICROSEQUENCING PRIMERS.” The remaining half of the sequences described in Table 12 are complementary to the range of nucleotide positions within the Sequence ID provided in the same row as the Sequence ID in a column labeled, “COMPLEMENTARY POSITION RANGE OF MICROSEQUENCING PRIMERS.” For all inventions which relate to biallelic markers or sequences described in Table 12, a more preferred set of markers or sequences consists of those markers or sequences found in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652.

The term “sequence described in Table 13” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 13. The SEQ ID that contains each “sequence described in Table 13” is provided in the column labeled, “SEQ ID.” The range of nucleotide positions within the Sequence ID of which half of the sequences consists is provided in the same row as the Sequence ID in a column labeled, “POSITION RANGE OF AMPLIFICATION PRIMERS.” The remaining half of the sequences described in Table 13 are complementary to the range of nucleotide positions within the Sequence ID provided in the same row as the Sequence ID in a column labeled, “COMPLEMENTARY POSITION RANGE OF AMPLIFICATION PRIMERS.” For all inventions which relate to biallelic markers or sequences described in Table 13, a more preferred set of markers or sequences consists of those markers or sequences found in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646.

The term “sequence described in Table 13” is used herein to refer to the entire collection of nucleotide sequences or any individual sequence defined in Table 13. The SEQ ID that contains each “sequence described in Table 13” is provided in the column labeled, “SEQ ID”. The range of nucleotide positions within the Sequence ID of which each sequence consists is provided in the same row as the Sequence ID in a column labeled, “POSITION RANGE OF PROBES”. The sequences which are complementary to the ranges listed in the column labeled, “POSITION RANGE OF PROBES” are also encompassed by the term, “sequence described in Table 13.” Unless otherwise noted the term “sequence described in Table 13” is to be construed as encompassing sequences that contain either of the two alleles listed in the allele feature in the appended Sequence Listing for each Sequence ID number referenced in Table 13. For all inventions which relate to biallelic markers or sequences described in Table 13, a more preferred set of markers or sequences consists of those markers or sequences found in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652.

The terms “biallelic marker described in Table” and “allele described in Table” are used herein to refer to any or all alleles which are listed in the allele feature in the appended Sequence Listing for each Sequence ID number referenced in the particular Table being mentioned.

The following abbreviations are used in this disclosure: the LTB₄H₂ gene is abbreviated LTB4H2; leukotriene B₄-12-OH dehydrogenase is abbreviated LTB4-12OH; leukotriene B₄ receptor is abbreviated LTB4R; PGD-synthase is abbreviated PGDS; and PG-15-OH dehydrogenase is abbreviated PG 150H.

Variants and Fragments

The invention also relates to variants and fragments of the polynucleotides described herein, particularly of a 12-LO gene containing one or more biallelic markers according to the invention.

Variants of polynucleotides, as the term is used herein, are polynucleotides that differ from a reference polynucleotide. A variant of a polynucleotide may be a naturally occurring variant such as a naturally occurring allelic variant, or it may be a variant that is not known to occur naturally. Such non-naturally occurring variants of the polynucleotide may be made by mutagenesis techniques, including those applied to polynucleotides, cells or organisms. Generally, differences are limited so that the nucleotide sequences of the reference and the variant are closely similar overall and, in many regions, identical. Variants of polynucleotides according to the invention include, without being limited to, nucleotide sequences which are at least 95% identical, preferably at least 99% identical, more particularly at least 99.5% identical, and most preferably at least 99.8% identical to a polynucleotide selected from the group consisting of the polynucleotides of a sequence from any sequence in the Sequence Listing as well as sequences which are complementary thereto or to any polynucleotide fragment of at least 8 consecutive nucleotides of a sequence from any sequence in the Sequence Listing. Nucleotide changes present in a variant polynucleotide may be silent, which means that they do not alter the amino acids encoded by the polynucleotide. However, nucleotide changes may also result in amino acid substitutions, additions, deletions, fusions and truncations in the polypeptide encoded by the reference sequence. The substitutions, deletions or additions may involve one or more nucleotides. The variants may be altered in coding or non-coding regions or both. Alterations in the coding regions may produce conservative or non-conservative amino acid substitutions, deletions or additions. In the context of the present invention, particularly preferred embodiments are those in which the polynucleotides encode polypeptides which retain substantially the same biological function or activity as the mature 12-LO protein, or those in which the polynucleotides encode polypeptides which maintain or increase a particular biological activity, while reducing a second biological activity. A polynucleotide fragment is a polynucleotide having a sequence that is entirely the same as part but not all of a given nucleotide sequence, preferably the nucleotide sequence of a 12-LO gene, and variants thereof. The fragment can be a portion of an exon or of an intron of a 12-LO gene. It can also be a portion of the regulatory regions of the 12-LO gene preferably of the promoter sequence of the 12-LO gene. Such fragments may be “free-standing”, i.e. not part of or fused to other polynucleotides, or they may be comprised within a single larger polynucleotide of which they form a part or region. Indeed, several of these fragments may be present within a single larger polynucleotide.

Identity Between Nucleic Acids and Polypeptides

The terms “percentage of sequence identity” and “percentage homology” are used interchangeably herein to refer to comparisons among polynucleotides and polypeptides, and are determined by comparing two optimally aligned sequences over a comparison window, wherein the portion of the polynucleotide or polypeptide sequence in the comparison window may comprise additions or deletions (i.e., gaps) as compared to the reference sequence (which does not comprise additions or deletions) for optimal alignment of the two sequences. The percentage is calculated by determining the number of positions at which the identical nucleic acid base or amino acid residue occurs in both sequences to yield the number of matched positions, dividing the number of matched positions by the total number of positions in the window of comparison and multiplying the result by 100 to yield the percentage of sequence identity. Homology is evaluated using any of the variety of sequence comparison algorithms and programs known in the art. Such algorithms and programs include, but are by no means limited to, TBLASTN, BLASTP, FASTA, TFASTA, and CLUSTALW (Pearson and Lipman, Proc. Natl. Acad. Sci. 85(8):2444-2448, 1988; Altschul et al., J. Mol. Biol. 215(3):403-410,1990; Thompson et al., Nucleic Acids Res. 22(2):4673-4680, 1994; Higgins et al., Methods Enzymol. 266:383-402, 1996; Altschul et al., Nature Genetics 3:266-272, 1993, the disclosures of which are incorporated herein by reference in their entireties). In a particularly preferred embodiment, protein and nucleic acid sequence homologies are evaluated using the Basic Local Alignment Search Tool (“BLAST”) which is well known in the art (See, e.g., Karlin and Altschul, Proc. Natl. Acad. Sci. USA 87:2267-2268, 1990; Altschul et al., J. Mol. Biol. 215(3):403-410, 1990; Altschul et al., Nature Genetics 3:266-272, 1993; Altschul et al., Nuc. Acids Res. 25:3389-3402, 1997, the disclosures of which are incorporated herein by reference in their entireties). In particular, five specific BLAST programs are used to perform the following task:

-   (1) BLASTP and BLAST3 compare an amino acid query sequence against a     protein sequence database; -   (2) BLASTN compares a nucleotide query sequence against a nucleotide     sequence database; -   (3) BLASTX compares the six-frame conceptual translation products of     a query nucleotide sequence (both strands) against a protein     sequence database; -   (4) TBLASTN compares a query protein sequence against a nucleotide     sequence database translated in all six reading frames (both     strands); and -   (5) TBLASTX compares the six-frame translations of a nucleotide     query sequence against the six-frame translations of a nucleotide     sequence database.

The BLAST programs identify homologous sequences by identifying similar segments, which are referred to herein as “high-scoring segment pairs,” between a query amino or nucleic acid sequence and a test sequence which is preferably obtained from a protein or nucleic acid sequence database. High-scoring segment pairs are preferably identified (i.e., aligned) by means of a scoring matrix, many of which are known in the art. Preferably, the scoring matrix used is the BLOSUM62 matrix (Gonnet et al., Science 256:1443-1445, 1992; Henikoff and Henikoff, Proteins 17:49-61, 1993, the disclosures of which are incorporated herein by reference in their entireties). Less preferably, the PAM or PAM250 matrices may also be used (See, e.g., Schwartz and Dayhoff, eds., Matrices for Detecting Distance Relationships: Atlas of Protein Sequence and Structure, Washington: National Biomedical Research Foundation, 1978, the disclosure of which is incorporated herein by reference in its entirety). The BLAST programs evaluate the statistical significance of all high-scoring segment pairs identified, and preferably selects those segments which satisfy a user-specified threshold of significance, such as a user-specified percent homology. Preferably, the statistical significance of a high-scoring segment pair is evaluated using the statistical significance formula of Karlin (see, e.g., Karlin and Altschul, Proc. Natl. Acad. Sci. USA 87:2267-2268, 1990, the disclosure of which is incorporated herein by reference in its entirety).

Stringent Hybridization Conditions

By way of example and not limitation, procedures using conditions of high stringency are as follows: Prehybridization of filters containing DNA is carried out for 8 h to overnight at 65° C. in buffer composed of 6×SSC, 50 mM Tris-HCl (pH 7.5), 1 mM EDTA, 0.02% PVP, 0.02% Ficoll, 0.02% BSA, and 500 μg/ml denatured salmon sperm DNA. Filters are hybridized for 48 h at 65° C., the preferred hybridization temperature, in prehybridization mixture containing 100 μg/ml denatured salmon sperm DNA and 5-20×10⁶ cpm of ³²P-labeled probe. Alternatively, the hybridization step can be performed at 65° C. in the presence of SSC buffer, 1×SSC corresponding to 0.15M NaCl and 0.05 M Na citrate. Subsequently, filter washes can be done at 37° C. for 1 h in a solution containing 2×SSC, 0.01% PVP, 0.01% Ficoll, and 0.01% BSA, followed by a wash in 0.1×SSC at 50° C. for 45 min. Alternatively, filter washes can be performed in a solution containing 2×SSC and 0.1% SDS, or 0.5×SSC and 0.1% SDS, or 0.1×SSC and 0.1% SDS at 68° C. for 15 minute intervals. Following the wash steps, the hybridized probes are detectable by autoradiography. Other conditions of high stringency which may be used are well known in the art and as cited in Sambrook et al., 1989; and Ausubel et al., 1989. These hybridization conditions are suitable for a nucleic acid molecule of about 20 nucleotides in length. There is no need to say that the hybridization conditions described above are to be adapted according to the length of the desired nucleic acid, following techniques well-known to one skilled in the art. The suitable hybridization conditions may for example be adapted according to the teachings disclosed in the book of Hames and Higgins (Nucleic Acid Hybridization: A Practical Approach, IRL Press, Oxford, 1985) or in Sambrook et al. (Molecular Cloning: A Laboratory Manual, 2^(nd) edition, Cold Spring Harbor Laboratory, Cold Spring Harbor, N.Y., 1989), the disclosures of which are incorporated herein by reference in their entireties.

I. Biallelic Markers and Polynucleotides Comprising Biallelic Markers

A. Polynucleotides of the Present Invention

The present invention encompasses polynucleotides for use as primers and probes in the methods of the invention. These polynucleotides may consist of, consist essentially of, or comprise a contiguous span of nucleotides of a sequence from any sequence in the Sequence Listing as well as sequences which are complementary thereto (“complements thereof”). The “contiguous span” may be at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 nucleotides in length, to the extent that a contiguous span of these lengths is consistent with the lengths of the particular Sequence ID. It should be noted that the polynucleotides of the present invention are not limited to having the exact flanking sequences surrounding the polymorphic bases, which are enumerated in the Sequence Listing. Rather, it will be appreciated that the flanking sequences surrounding the biallelic markers, or any of the primers of probes of the invention which, are more distant from the markers, may be lengthened or shortened to any extent compatible with their intended use and the present invention specifically contemplates such sequences. It will be appreciated that the polynucleotides referred to in the Sequence Listing may be of any length compatible with their intended use. Also the flanking regions outside of the contiguous span need not be homologous to native flanking sequences which actually occur in human subjects. The addition of any nucleotide sequence, which is compatible with the nucleotides intended use is specifically contemplated. The contiguous span may optionally include the eicosanoid-related biallelic marker in said sequence. Biallelic markers generally consist of a polymorphism at one single base position. Each biallelic marker therefore corresponds to two forms of a polynucleotide sequence which, when compared with one another, present a nucleotide modification at one position. Usually, the nucleotide modification involves the substitution of one nucleotide for another. Optionally either the original or the alternative allele of the biallelic markers disclosed in Table 9, or the first or second allele disclosed in Tables 8 and 10 may be specified as being present at the eicosanoid-related biallelic marker. Optionally, the biallelic markers may be specified as 12-214-85, 12-215-272, 12-221-163, 12-225-82, 10-234-179, 10-235-272, 10-251-342, 10-395-367, 12-730-58, 12-735-208, 12-739-22, 12-540-363, 12-550-206, 10-207-410, 10-171-254, 12-94-110, 12-834-290, 10-55-115, 12-857-122, 12-872-175, 12-882-40, 12-888-234, 12-278-353, 12-283-386, 12-44-181, 10-343-231, 10-349-216, 10-509-295, 10-511-337, 10-349-216, 10-343-231, 10-13-396, 12-570-62, 10-474-320, 10-510-173 and 10-342-301 which consist of more complex polymorphisms including insertions/deletions of at least one nucleotide. Optionally either the original or the alternative allele of these biallelic markers may be specified as being present at the eicosanoid-related biallelic marker. Preferred polynucleotides may consist of, consist essentially of, or comprise a contiguous span of nucleotides of a sequence from SEQ ID No 571-595, 600, 606, 613, 620, 628, and 638-639; or more preferably from SEQ ID No 1225-1249, 1254, 1260, 1267, 1274, 1282, 1292 and 1293 as well as sequences which are complementary thereto. The “contiguous span” may be at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 nucleotides in length, to the extent that a contiguous span of these lengths is consistent with the lengths of the particular Sequence ID. The contiguous span may optionally comprise a biallelic marker selected from the group consisting of biallelic markers 12-214-85, 12-215-272, 12-221-163, 12-225-82, 10-234-179, 10-235-272, 10-251-342, 10-395-367, 12-730-58, 12-735-208, 12-739-22, 12-540-363, 12-550-206, 10-207-410, 10-171-254, 12-94-110, 12-834-290, 10-55-115, 12-857-122, 12-872-175, 12-882-40, 12-888-234, 12-278-353, 12-283-386, 12-44-181, 10-343-231, 10-349-216, 10-509-295, 10-511-337, 10-349-216, 10-343-231, 10-13-396, 12-570-62, 10-474-320, 10-510-173 and 10-342-301.

The invention also relates to polynucleotides that hybridize, under conditions of high or intermediate stringency, to a polynucleotide of a sequence from any sequence in the Sequence Listing as well as sequences, which are complementary thereto. Preferably such polynucleotides are at least 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 nucleotides in length, to the extent that a polynucleotide of these lengths is consistent with the lengths of the particular Sequence ID. Preferred polynucleotides comprise an eicosanoid-related biallelic marker. Optionally either the original or the alternative allele of the biallelic markers disclosed in Table 10 may be specified as being present at the eicosanoid-related biallelic marker. Conditions of high and intermediate stringency are further described in III.C.4 “Methods of Genotyping DNA Samples for Biallelic Markers-Hybridization assay methods.”

The preferred polynucleotides of the invention include the sequence ranges included in any one the sequence ranges of Tables 8, 11, and 14 individually or in groups consisting of all the possible combinations of the ranges of included in Tables 8, 11, and 14. The preferred polynucleotides of the invention also include fragments of at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 consecutive nucleotides of the sequence ranges included in any one of the sequence ranges of Tables 8, 11, and 14 to the extent that fragments of these lengths are consistent with the lengths of the particular sequence range. The preferred polynucleotides of the invention also include fragments of at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 consecutive nucleotides of the sequence complementary to the sequence ranges included in any one of the sequence ranges of Tables 8, 11, and 14 to the extent that fragments of these lengths are consistent with the lengths of the particular sequence range.

Particularly preferred polynucleotides of the invention include isolated, purified or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides of SEQ ID No 651, wherein said contiguous span comprises at least 1, 2, 3, 4, 5 or 10 of the following nucleotide positions of SEQ ID No. 651: 1 to 2584, 4425 to 5551, 5634 to 5757, 5881 to 5995, 6100 to 6348, 6510 to 7378, 7523 to 8644, 8855 to 12253, 12341 to 12853, 13024 to 13307, 13430 to 16566, 16668 to 16774, 16946 to 17062, 17555 to 20674; and the complements thereof. Other particularly preferred polynucleotides of the invention include isolated, purified or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides from a sequence of SEQ ID No. 651 and the complements thereof; wherein said contiguous span comprises at least one nucleotide positions selected from the group consisting of: a C at position 3355, a G at position 3488, a G at position 3489, and a G at position 3708 of SEQ ID No. 651.

Additional preferred polynucleotides of the invention include isolated, purified or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides from a sequence of SEQ ID No. 652, wherein said contiguous span comprises a T at position 1205 of SEQ ID No. 652 or nucleotide positions 2151 to 2157 of SEQ ID No. 652; and the complements thereof.

The present invention further embodies isolated, purified, and recombinant polynucleotides which encode polypeptides comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 30, 40, 50, or 100 amino acids of SEQ ID No. 653, wherein said contiguous span comprises at least one amino acid position selected from the group consisting of the following: an His residue et amino acid position 189, an His residue at amino acid position 225, a Cys residue at amino acid position 243, an Arg residue at amino acid position 261, an Asn residue at amino acid position 322, an Arg residue at amino acid position 337, a Asn residue at amino acid position 362, an Asn at amino acid position 568 and a Lys residue at amino acid position 574. The present invention further provides isolated, purified, and recombinant polynucleotides which encode polypeptides comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 30, 40, 50, or 100 amino acids of SEQ ID No. 653, wherein said contiguous span comprises at least one of amino acid positions 110-131 of SEQ ID No. 653.

Particularly preferred polynucleotides of the present invention include purified, isolated or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides of a sequence selected from the group consisting of SEQ ID Nos. 26-68, 614-646, and 651-652; or more preferably from SEQ ID No 651-652, 680-722, and 1268-1300, or the complements thereof, wherein said span includes a 12-lipoxygenase-related biallelic marker. Optionally said biallelic marker is selected from the biallelic markers described in Table 2(a-c) and even more preferably said biallelic marker is selected from biallelic markers: 12-197-244, 12-208-35, 12-226-167, 12-206-366, 10-346-141, 10-347-111, 10-347-165, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 10-341-116, 12-196-119, 12-214-129, 12-216-421, 12-219-230, and 12-223-207. Optionally either allele of the biallelic markers described above in the definition of 12-lipoxygenase-related biallelic marker is specified as being present at the 12-lipoxygenase-related biallelic marker.

Particularly preferred polynucleotides of the present invention include purified, isolated or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides of a sequence of SEQ ID No. 651 and the complements thereof; wherein said contiguous span comprises a least one nucleotide positions selected from the group consisting of: a T at position 2323, a C at position 2341, an A at position 2623, an A at position 2832, a C at position 2844, an A at position 2934, an A at position 2947, a G at position 3802, a G at position 4062, a C at position 4088, a T at position 4109, a T at position 4170, an A at position 6019, a C at position 6375, a C at position 6429, an A at position 6467, a G at position 6484, an A at position 8658, a G at position 8703, an A at position 8777, a G at position 8785, a G at position 13341, an A at position 16836, an A at position 16854, and a T at position 17355 of SEQ ID No. 651.

Particularly preferred polynucleotides of the present invention include purified, isolated or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides of a sequence of SEQ ID No. 652 and the complements thereof; wherein said contiguous span comprises a least one nucleotide position selected from the group consisting of: G at position 366, an A at position 605, a C at position 712, a T at position 766, an A at position 804, a G at position 821, an A at position 1004, a G at position 1049, an A at position 1123, a G at position 1131, a G at position 1491, an A at position 1742, an A at position 1760, an A at position 1941, and a T at position 2144 of SEQ ID No. 652.

Table 2(a-c) contains a list of preferred 12-LO-related biallelic markers. Each marker is described by indicating its Marker ID, the position of the marker in the SEQ ID and the two most common alleles. TABLE 2a NON-GENOMIC BIALLELIC MARKERS POSITION OF POSITION OF BIALLELIC MARKER BIALLELIC MARKER BIALLELIC IN SEQ ID (FIG. 2A) IN SEQ ID (FIG. 2B) MARKER ID ALLELES SEQ ID No. Position SEQ ID No Position 12-196-119 C/T 44 119 698 24 12-197-244 C/T 45 243 699 24 12-198-128 A/G 46 128 700 24 12-208-35 A/T 48 35 702 24 12-214-129 C/T 49 129 703 24 12-214-151 G/C 50 151 704 24 12-214-360 C/G 51 358 705 24 12-214-85 Deletion CCTAT 571 85 1225 24 12-215-272 Deletion T 572 271 1226 24 12-215-467 G/T 52 466 706 24 12-216-421 A/G 53 418 707 24 12-219-230 A/G 54 229 708 24 12-219-256 C/T 55 255 709 24 12-221-163 GTCCTA/T 573 163 1227 24 12-221-302 A/C 57 302 711 24 12-223-179 A/G 58 179 712 24 12-223-207 C/T 59 207 713 24 12-225-541 C/T 60 540 714 24 12-225-82 Deletion T 574 82 1228 24 12-226-167 C/G 61 166 715 24 12-226-458 C/T 62 455 716 24 12-229-332 G/C 63 332 717 24 12-229-351 G/C 64 351 718 24 12-230-364 C/T 65 364 719 24 12-231-100 C/T 66 99 720 24 12-231-148 C/T 67 147 721 24 12-231-266 C/T 68 265 722 24

TABLE 2b BIALLELIC MARKERS IN GENOMIC SEQUENCE (SEQ ID No. 651) BIALLELIC POSITION OF BIALLELIC MARKER ID ALLELES MARKER IN SEQ ID 10-508-191 C/T 1128 10-508-245 C/T 1182 10-510-173 ATTTA/TTTTTT 1827 10-511-62 C/T 2048 10-511-337 Insertion of T 2323 10-512-36 G/C 2341 10-512-318 A/G 2623 10-513-250 A/G 2832 10-513-262 C/T 2844 10-513-352 A/G 2934 10-513-365 A/G 2947 12-206-81 A/G 3802 10-343-231 Deletion of C 4062 12-206-366 C/T 4088 10-343-278 C/T 4109 10-343-339 G/T 4170 10-346-23 A/G 5903 10-346-141 A/G 6019 10-346-263 G/C 6141 10-346-305 C/T 6183 10-347-74 A/G 6338 10-347-111 G/C 6375 10-347-165 C/T 6429 10-347-203 A/G 6467 10-347-220 A/G 6484 10-347-271 A/T 6534 10-347-348 A/G 6611 10-348-391 A/G 7668 10-349-47 C/T 8608 10-349-97 A/G 8658 10-349-142 G/C 8703 10-349-216 Deletion of CTG 8777 10-349-224 G/T 8785 10-349-368 C/T 8926 10-350-72 C/T 12171 10-350-332 C/T 12429 10-507-170 A/G 13341 10-507-321 A/C 13492 10-507-353 C/T 13524 10-507-364 C/T 13535 10-507-405 C/T 13576 12-220-48 G/A 15194 10-339-32 C/T 16468 10-339-124 C/T 16559 10-340-112 A/C 16836 10-340-130 A/T 16854 10-340-238 A/G 16962 10-341-116 A/G 17152 10-341-319 C/T 17355 10-342-301 Insertion of A 17623 10-342-373 C/T 17695

TABLE 2c BIALLELIC MARKERS IN 12-LO cDNA (SEQ ID No 652) POSITION OF BIALLELIC BIALLELIC MARKER MARKER ID ALLELES IN SEQ ID 10-343-231 Deletion of C 366 10-346-141 A/G 605 10-347-111 G/C 712 10-347-165 C/T 766 10-347-203 A/G 804 10-347-220 A/G 821 10-349-142 G/C 1049 10-349-216 Deletion of CTG 1123 10-349-224 G/T 1131 10-507-170 A/G 1491 10-340-112 A/C 1742 10-340-130 A/T 1760 10-341-116 A/G 1941 10-341-319 C/T 2144

The primers of the present invention may be designed from the disclosed sequences for any method known in the art. A preferred set of primers is fashioned such that the 3′ end of the contiguous span of identity with the sequences of the Sequence Listing is present at the 3′ end of the primer. Such a configuration allows the 3′ end of the primer to hybridize to a selected nucleic acid sequence and dramatically increases the efficiency of the primer for amplification or sequencing reactions. In a preferred set of primers the contiguous span is found in one of the sequences described in Table 11. Allele specific primers may be designed such that a biallelic marker is at the 3′ end of the contiguous span and the contiguous span is present at the 3′ end of the primer. Such allele specific primers tend to selectively prime an amplification or sequencing reaction so long as they are used with a nucleic acid sample that contains one of the two alleles present at a biallelic marker. The 3′ end of primers of the invention may be located within or at least 2, 4, 6, 8, 10, 12, 15, 18, 20, 25, 50, 100, 250, 500, or 1000, to the extent that this distance is consistent with the particular Sequence ID, nucleotides upstream of an eicosanoid-related biallelic marker in said sequence or at any other location which is appropriate for their intended use in sequencing, amplification or the location of novel sequences or markers. A list of preferred amplification primers is disclosed in Table 13. A more preferred set of amplification primers is described in Table 13 in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652. Primers with their 3′ ends located 1 nucleotide upstream of an eicosanoid-related biallelic marker have a special utility as microsequencing assays. Preferred microsequencing primers are described in Table 12. A more preferred set of microsequencing primers is described in Table 12 in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652.

The probes of the present invention may be designed from the disclosed sequences for any method known in the art, particularly methods which allow for testing if a particular sequence or marker disclosed herein is present. A preferred set of probes may be designed for use in the hybridization assays of the invention in any manner known in the art such that they selectively bind to one allele of a biallelic marker, but not the other under any particular set of assay conditions. Preferred hybridization probes may consists of, consist essentially of, or comprise a contiguous span which ranges in length from 8, 10, 12, 15, 18 or 20 to 25, 35, 40, 50, 60, 70, or 80 nucleotides, or be specified as being 12, 15, 18, 20, 25, 35, 40, or 50 nucleotides in length and including an eicosanoid-related biallelic marker of said sequence. Optionally the original allele or alternative allele disclosed in Tables 9 and 10 may be specified as being present at the biallelic marker site. Optionally, said biallelic marker may be within 6, 5, 4, 3, 2, or 1 nucleotides of the center of the hybridization probe or at the center of said probe. A particularly preferred set of hybridization probes is disclosed in Table 14 or a sequence complementary thereto.

Any of the polynucleotides of the present invention can be labeled, if desired, by incorporating a label detectable by spectroscopic, photochemical, biochemical, immunochemical, or chemical means. For example, useful labels include radioactive substances, fluorescent dyes or biotin. Preferably, polynucleotides are labeled at their 3′ and 5′ ends. A label can also be used to capture the primer, so as to facilitate the immobilization of either the primer or a primer extension product, such as amplified DNA, on a solid support. A capture label is attached to the primers or probes and can be a specific binding member which forms a binding pair with the solid's phase reagent's specific binding member (e.g. biotin and streptavidin). Therefore depending upon the type of label carried by a polynucleotide or a probe, it may be employed to capture or to detect the target DNA. Further, it will be understood that the polynucleotides, primers or probes provided herein, may, themselves, serve as the capture label. For example, in the case where a solid phase reagent's binding member is a nucleic acid sequence, it may be selected such that it binds a complementary portion of a primer or probe to thereby immobilize the primer or probe to the solid phase. In cases where a polynucleotide probe itself serves as the binding member, those skilled in the art will recognize that the probe will contain a sequence or “tail” that is not complementary to the target. In the case where a polynucleotide primer itself serves as the capture label, at least a portion of the primer will be free to hybridize with a nucleic acid on a solid phase. DNA Labeling techniques are well known to the skilled technician.

Any of the polynucleotides, primers and probes of the present invention can be conveniently immobilized on a solid support. Solid supports are known to those skilled in the art and include the walls of wells of a reaction tray, test tubes, polystyrene beads, magnetic beads, nitrocellulose strips, membranes, microparticles such as latex particles, sheep (or other animal) red blood cells, duracytes® and others. The solid support is not critical and can be selected by one skilled in the art. Thus, latex particles, microparticles, magnetic or non-magnetic beads, membranes, plastic tubes, walls of microtiter wells, glass or silicon chips, sheep (or other suitable animal's) red blood cells and duracytes are all suitable examples. Suitable methods for immobilizing nucleic acids on solid phases include ionic, hydrophobic, covalent interactions and the like. A solid support, as used herein, refers to any material which is insoluble, or can be made insoluble by a subsequent reaction. The solid support can be chosen for its intrinsic ability to attract and immobilize the capture reagent. Alternatively, the solid phase can retain an additional receptor which has the ability to attract and immobilize the capture reagent. The additional receptor can include a charged substance that is oppositely charged with respect to the capture reagent itself or to a charged substance conjugated to the capture reagent. As yet another alternative, the receptor molecule can be any specific binding member which is immobilized upon (attached to) the solid support and which has the ability to immobilize the capture reagent through a specific binding reaction. The receptor molecule enables the indirect binding of the capture reagent to a solid support material before the performance of the assay or during the performance of the assay. The solid phase thus can be a plastic, derivatized plastic, magnetic or non-magnetic metal, glass or silicon surface of a test tube, microtiter well, sheet, bead, microparticle, chip, sheep (or other suitable animal's) red blood cells, duracytes® and other configurations known to those of ordinary skill in the art. The polynucleotides of the invention can be attached to or immobilized on a solid support individually or in groups of at least 2, 5, 8, 10, 12, 15, 20, or 25 distinct polynucleotides of the inventions to a single solid support. In addition, polynucleotides other than those of the invention may be attached to the same solid support as one or more polynucleotides of the invention.

Any polynucleotide provided herein may be attached in overlapping areas or at random locations on the solid support. Alternatively the polynucleotides of the invention may be attached in an ordered array wherein each polynucleotide is attached to a distinct region of the solid support which does not overlap with the attachment site of any other polynucleotide. Preferably, such an ordered array of polynucleotides is designed to be “addressable” where the distinct locations are recorded and can be accessed as part of an assay procedure. Addressable polynucleotide arrays typically comprise a plurality of different oligonucleotide probes that are coupled to a surface of a substrate in different known locations. The knowledge of the precise location of each polynucleotides location makes these “addressable” arrays particularly useful in hybridization assays. Any addressable array technology known in the art can be employed with the polynucleotides of the invention. One particular embodiment of these polynucleotide arrays is known as the Genechips™, and has been generally described in U.S. Pat. No. 5,143,854; PCT publications WO 90/15070 and 92/10092. These arrays may generally be produced using mechanical synthesis methods or light directed synthesis methods, which incorporate a combination of photolithographic methods and solid phase oligonucleotide synthesis (Fodor et al., Science, 251:767-777, 1991). The immobilization of arrays of oligonucleotides on solid supports has been rendered possible by the development of a technology generally identified as “Very Large Scale Immobilized Polymer Synthesis” (VLSIPS™) in which, typically, probes are immobilized in a high density array on a solid surface of a chip. Examples of VLSIPS™ technologies are provided in U.S. Pat. Nos. 5,143,854 and 5,412,087 and in PCT Publications WO 90/15070, WO 92/10092 and WO 95/11995, which describe methods for forming oligonucleotide arrays through techniques such as light-directed synthesis techniques. In designing strategies aimed at providing arrays of nucleotides immobilized on solid supports, further presentation strategies were developed to order and display the oligonucleotide arrays on the chips in an attempt to maximize hybridization patterns and sequence information. Examples of such presentation strategies are disclosed in PCT Publications WO 94/12305, WO 94/11530, WO 97/29212 and WO 97/31256.

Oligonucleotide arrays may comprise at least one of the sequences selected from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof or a fragment thereof of at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 consecutive nucleotides, to the extent that fragments of these lengths is consistent with the lengths of the particular Sequence ID, for determining whether a sample contains one or more alleles of the biallelic markers of the present invention. Oligonucleotide arrays may also comprise at least one of the sequences selected from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof or a fragment thereof of at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 consecutive nucleotides, to the extent that fragments of these lengths is consistent with the lengths of the particular Sequence ID, for amplifying one or more alleles of the biallelic markers of Table 7(A-B). In other embodiments, arrays may also comprise at least one of the sequences selected from the group consisting of SEQ ID Nos. 1-70, 72-418, 425-489, 491-530, 532-539, and 541-652, and the complements thereof; preferably SEQ ID Nos. 651-652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304, and the complements thereof; or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, and the complements thereof or a fragment thereof of at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 consecutive nucleotides, to the extent that fragments of these lengths is consistent with the lengths of the particular Sequence ID, for conducting microsequencing analyses to determine whether a sample contains one or more alleles of the biallelic markers of the invention. In still further embodiments, the oligonucleotide array may comprise at least one of the sequences selecting from the group consisting of SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652, or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300; and the sequences complementary thereto or a fragment thereof of at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 nucleotides in length, to the extent that fragments of these lengths is consistent with the lengths of the particular Sequence ID, for determining whether a sample contains one or more alleles of the biallelic markers of the present invention. In still further embodiments, the oligonucleotide array may comprise at least one of the novel sequences listed in the fifth column of Table 8 or the sequences complementary thereto or a fragment comprising at least 8, 10, 12, 15, 18, 20, 25, 35, 40, 50, 70, 80, 100, 250, 500 or 1000 consecutive nucleotides thereof to the extent that fragments of these lengths are consistent with the lengths of the particular novel sequences.

The present invention also encompasses diagnostic kits comprising one or more polynucleotides of the invention, optionally with a portion or all of the necessary reagents and instructions for genotyping a test subject by determining the identity of a nucleotide at an eicosanoid-related biallelic marker. The polynucleotides of a kit may optionally be attached to a solid support, or be part of an array or addressable array of polynucleotides. The kit may provide for the determination of the identity of the nucleotide at a marker position by any method known in the art including, but not limited to, a sequencing assay method, a microsequencing assay method, a hybridization assay method, an allele specific amplification method, or a mismatch detection assay based on polymerases and/or ligases. Optionally such a kit may include instructions for scoring the results of the determination with respect to the test subjects' risk of contracting a diseases involving arachidonic acid metabolism, or likely response to an agent acting on arachidonic acid metabolism, or chances of suffering from side effects to an agent acting on arachidonic acid metabolism. Preferably such a kit may include instructions for scoring the results of the determination with respect to the subjects risk of developing hepatotoxicity upon treatment with the anti-asthmatic drug zileuton.

B. Genomic Sequences of the 12-LO Gene and Biallelic Markers

The present invention encompasses the genomic sequence of the 12-LO gene of SEQ ID No. 651. The 12-LO genomic sequences comprise exons and introns. Particularly preferred genomic sequences of the 12-LO gene include isolated, purified, or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides of SEQ ID No. 651, wherein said contiguous span comprises at least 1 one of the following nucleotide positions of SEQ ID No. 651: 1 to 2584, 4425 to 5551, 5634 to 5757, 5881 to 5995, 6100 to 6348, 6510 to 7378, 7523 to 8644, 8855 to 12253, 12341 to 12853, 13024 to 13307, 13430 to 16566, 16668 to 16774, 16946 to 17062, 17555 to 20674; and the complements thereof. The nucleic acids defining the 12-LO intronic polynucleotides may be used as oligonucleotide primers or probes in order to detect the presence of a copy of the 12-LO gene in a test sample, or alternatively in order to amplify a target nucleotide sequence within the 12-LO sequences. Other particularly preferred genomic sequences of the invention include isolated, purified or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides from a sequence of SEQ ID No. 651 and the complements thereof; wherein said contiguous span comprises at least one nucleotide positions selected from the group consisting of: a C at position 3355, a G at position 3488, a G at position 3489, and a G at position 3708 of SEQ ID No. 651.

The present invention further provides 12-lipoxygenase intron and exon polynucleotide sequences including biallelic markers. Particularly preferred polynucleotides of the present invention include purified, isolated or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides of a sequence of SEQ ID No. 651 or the complements thereof, wherein said span includes a 12-lipoxygenase-related biallelic marker. Optionally said biallelic marker is selected from the biallelic markers described in Table 2(a-c) and even more preferably said biallelic marker is selected from biallelic markers: 12-197-244, 12-208-35, 12-226-167, 12-206-366, 10-346-141, 10-347-111, 10-347-165, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 10-341-116, 12-196-119, 12-214-129, 12-216-421, 12-219-230, and 12-223-207. Particularly preferred genomic sequences of the present invention include purified, isolated or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides of a sequence of SEQ ID No. 651 and the complements thereof; wherein said contiguous span comprises a least one nucleotide positions selected from the group consisting of: a T at position 2323, a C at position 2341, an A at position 2623, an A at position 2832, a C at position 2844, an A at position 2934, an A at position 2947, a G at position 3802, a G at position 4062, a C at position 4088, a T at position 4109, a T at position 4170, an A at position 6019, a C at position 6375, a C at position 6429, an A at position 6467, a G at position 6484, an A at position 8658, a G at position 8703, an A at position 8777, a G at position 8785, a G at position 13341, an A at position 16836, an A at position 16854, and a T at position 17355 of SEQ ID No. 651.

The genomic sequence of the 12-LO gene contains regulatory sequences both in the non-coding 5′-flanking region and in the non-coding 3′-flanking region that border the 12-LO transcribed region containing the 14 exons of this gene. 5′-regulatory sequences of the 12-LO gene comprise the polynucleotide sequences located between the nucleotide in position 1 and the nucleotide in position 3124 of the nucleotide sequence of SEQ ID No. 651, more preferably between positions 1 and 2195 of SEQ ID No. 651. 3′-regulatory sequences of the 12-LO gene comprise the polynucleotide sequences located between the nucleotide in position 17555 and the nucleotide in position 20674 of the nucleotide sequence of SEQ ID No. 651.

The promoter activity of the regulatory regions contained in the 12-LO gene of polynucleotide sequence of SEQ ID No. 651 can be assessed by any known method. Methods for identifying the polynucleotide fragments of SEQ ID No. 651 involved in the regulation of the expression of the 12-LO gene are well-known to those skilled in the art (see Sambrook et al., Molecular Cloning A Laboratory Manual, 2^(nd) edition, Cold Spring Harbor Laboratory, Cold Spring Harbor, N.Y., 1989). An example of a typical method, that can be used, involves a recombinant vector carrying a reporter gene and genomic sequences from the 12-LO genomic sequence of SEQ ID No. 651. Briefly, the expression of the reporter gene (for example beta galactosidase or chloramphenicol acetyl transferase) is detected when placed under the control of a biologically active polynucleotide fragment. Genomic sequences located upstream of the first exon of the 12-LO gene may be cloned into any suitable promoter reporter vector, such as the pSEAP-Basic, pSEAP-Enhancer, pβgal-Basic, pβgal-Enhancer, or pEGFP-1 Promoter Reporter vectors available from Clontech, or pGL2-basic or pGL3-basic promoterless luciferase reporter gene vector from Promega. Each of these promoter reporter vectors include multiple cloning sites positioned upstream of a reporter gene encoding a readily assayable protein such as secreted alkaline phosphatase, luciferase, beta galactosidase, or green fluorescent protein. The sequences upstream the first 12-LO exon are inserted into the cloning sites upstream of the reporter gene in both orientations and introduced into an appropriate host cell. The level of reporter protein is assayed and compared to the level obtained with a vector lacking an insert in the cloning site. The presence of an elevated expression level in the vector containing the insert with respect to the control vector indicates the presence of a promoter in the insert.

Promoter sequences within the 5′ non-coding regions of the 12-LO gene may be further defined by constructing nested 5′ and/or 3′ deletions using conventional techniques such as Exonuclease III or appropriate restriction endonuclease digestion. The resulting deletion fragments can be inserted into the promoter reporter vector to determine whether the deletion has reduced or obliterated promoter activity, such as described, for example, by Coles et al. (Hum. Mol. Genet., 7:791-800, 1998, the disclosure of which is incorporated herein by reference in its entirety). In this way, the boundaries of the promoters may be defined. If desired, potential individual regulatory sites within the promoter may be identified using site directed mutagenesis or linker scanning to obliterate potential transcription factor binding sites within the promoter individually or in combination. The effects of these mutations on transcription levels may be determined by inserting the mutations into cloning sites in promoter reporter vectors. This type of assays are well known to those skilled in the art and are further described in WO 97/17359, U.S. Pat. No. 5,374,544, EP 582 796, U.S. Pat. No. 5,698,389, U.S. Pat. No. 5,643,746, U.S. Pat. No. 5,502,176, and U.S. Pat. No. 5,266,488, the disclosures of which are incorporated herein by reference in their entireties.

The activity and the specificity of the promoter of the 12-LO gene can further be assessed by monitoring the expression level of a detectable polynucleotide operably linked to the 12-LO promoter in different types of cells and tissues. The detectable polynucleotide may be either a polynucleotide that specifically hybridizes with a predefined oligonucleotide probe, or a polynucleotide encoding a detectable protein, including a 12-LO polypeptide or a fragment or a variant thereof. This type of assay is well known to those skilled in the art and is described in U.S. Pat. No. 5,502,176, and U.S. Pat. No. 5,266,488, the disclosures of which are incorporated herein by reference in their entireties.

Polynucleotides carrying the regulatory elements located both at the 5′ end and at the 3′ end of the 12-LO coding region may be advantageously used to control the transcriptional and translational activity of a heterologous polynucleotide of interest, said polynucleotide being heterologous as regards to the 12-LO regulatory region.

Thus, the present invention also concerns a purified, isolated, and recombinant nucleic acid comprising a polynucleotide which, is selected from the group consisting of, the polynucleotide sequences located between the nucleotide in position 1 and the nucleotide in position 3124 of the nucleotide sequence of SEQ ID No. 651, more preferably between positions 1 and 2195 of SEQ ID No. 651 and the polynucleotide sequences located between the nucleotide in position 17555 and the nucleotide in position 20674 of SEQ ID No. 651; or a sequence complementary thereto or a biologically active fragment thereof.

A “biologically active” fragment of SEQ ID No. 651 according to the present invention is a polynucleotide comprising or alternatively consisting of a fragment of said polynucleotide which is functional as a regulatory region for expressing a recombinant polypeptide or a recombinant polynucleotide in a recombinant cell host.

For the purpose of the invention, a nucleic acid or polynucleotide is “functional” as a regulatory region for expressing a recombinant polypeptide or a recombinant polynucleotide if said regulatory polynucleotide contains nucleotide sequences which contain transcriptional and translational regulatory information, and such sequences are “operably linked” to nucleotide sequences which encode the desired polypeptide or the desired polynucleotide.

The regulatory polynucleotides according to the invention may be advantageously part of a recombinant expression vector that may be used to express a coding sequence in a desired host cell or host organism.

A further object of the invention consists of an isolated polynucleotide comprising:

-   -   a) a nucleic acid comprising a regulatory nucleotide sequence         selected from the group consisting of a nucleotide sequence         comprising a polynucleotide of SEQ ID No. 651;     -   b) a polynucleotide encoding a desired polypeptide or a nucleic         acid of interest, operably linked to the nucleic acid defined         in (a) above.

The polypeptide encoded by the nucleic acid described above may be of various nature or origin, encompassing proteins of prokaryotic or eukaryotic origin. Among the polypeptides expressed under the control of a 12-LO regulatory region, there may be cited bacterial, fungal or viral antigens. Also encompassed are eukaryotic proteins such as intracellular proteins, for example “house keeping” proteins, membrane-bound proteins, for example receptors, and secreted proteins, for example cytokines. In a specific embodiment, the desired polypeptide may be the 12-LO protein, especially the protein of the amino acid sequence of SEQ ID No. 653 and 654.

The desired nucleic acids encoded by the above described polynucleotide, usually a RNA molecule, may be complementary to a desired coding polynucleotide, for example to the 12-LO coding sequence, and thus useful as an antisense polynucleotide.

Such a polynucleotide may be included in a recombinant expression vector in order to express the desired polypeptide or the desired nucleic acid in host cell or in a host organism.

C. cDNA Sequences of the 12-LO Gene and Biallelic Markers

The present invention provides a 12-lipoxygenase cDNA of SEQ ID No. 652. The Open Reading Frame encoding the 12-LO protein spans from the nucleotide in position 40 to the nucleotide in position 2028 of the polynucleotide sequence of SEQ ID No. 652. The cDNA of SEQ ID No. 652 also includes a 5′-UTR region (1-40) and a 3′-UTR (2028-2343) region.

Additional preferred cDNA polynucleotides of the invention include isolated, purified or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides from a sequence of SEQ ID No. 652 and the complements thereof. Additional preferred polynucleotides include isolated, purified or recombinant polynucleotides comprising a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides from a sequence of SEQ ID No. 652, wherein said contiguous span comprises a T at position 1205 of SEQ ID No. 652 or nucleotide positions 2151 to 2157 of SEQ ID No. 652; and the complements thereof.

Preferred cDNA fragments comprise a biallelic marker selected from the group consisting of 10-343-231, 10-346-141, 10-347-111, 10-347-165, 10-347-203, 10-347-220, 10-349-97, 10-349-142, 10-349-216, 10-349-224, 10-507-170, 10-340-112, 10-340-130, 10-341-116 and 10-341-319. Some biallelic polymorphisms represent silent nucleotide substitutions but biallelic markers 10-346-141, 10-347-111, 10-347-165, 10-347-220, 10-349-97, 10-349-142, 10-349-216, 10-340-112, 10-340-130 are associated with amino acid changes in the corresponding 12-lipoxygenase polypeptide. One allele of biallelic marker 10-343-231 (polymorphic deletion of a C nucleotide at position 366 of SEQ ID No. 652) causes a frame shift in the open reading frame of the 12-LO cDNA of SEQ ID No. 652 resulting in the novel polypeptide of SEQ ID No. 653. 12-LO polypeptides of SEQ ID Nos. 653 and 654 of the present invention are further described below.

Other preferred cDNA fragments comprise a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides from a sequence of SEQ ID No. 652, wherein said contiguous span comprises a T at position 1205 of SEQ ID No. 652; and the complements thereof. 12-LO cDNA fragments comprise a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500, or 1000 nucleotides from a sequence of SEQ ID No. 652, wherein said contiguous span comprises a T at position 1205 of SEQ ID No. 652 encode novel 12-LO polypeptides of SEQ ID No. 653 comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 30, 40, 50, or 100 amino acids of SEQ ID No. 653, wherein said contiguous span comprises a Leu residue at amino acid position 389 of SEQ ID No. 653.

The polynucleotide disclosed above that contains the coding sequence of the 12-LO gene of the invention may be expressed in a desired host cell or a desired host organism, when this polynucleotide is placed under the control of suitable expression signals. The expression signals may be either the expression signals contained in the regulatory regions in the 12-LO gene of the invention or may be exogenous regulatory nucleic sequences. Such a polynucleotide, when placed under the suitable expression signals, may also be inserted in a vector for its expression.

Another preferred cDNA fragment comprises the 5′-UTR (5′regulatory sequence) region beginning at position 1 and ending at position 39 of SEQ ID No. 652. Another preferred cDNA fragment comprises the 3′-UTR (3′regulatory sequence) region beginning at position 2029 and ending at position 2343 of SEQ ID No. 652. Preferably said 3′-UTR region comprises biallelic marker 10-341-319 or nucleotide positions 2151 to 2157 of SEQ ID No. 652.

D. Polynucleotide Constructs. Recombinant Vectors, Host Cells and Transgenic Animals

The terms “polynucleotide construct” and “recombinant polynucleotide” are used interchangeably herein to refer to linear or circular, purified or isolated polynucleotides that have been artificially designed and which comprise at least two nucleotide sequences that are not found as contiguous nucleotide sequences in their initial natural environment.

Polynucleotide Constructs

1. DNA Constructs for Expressing the 12-LO Gene in Recombinant Host Cells and in Transgenic Animals.

In order to study the physiological and phenotype consequences of a lack of synthesis of the 12-LO protein, both at the cellular level and at the multicellular organism level, in particular as regards to disorders related to abnormal cell proliferation, notably cancers, the invention also encompasses DNA constructs and recombinant vectors enabling a conditional expression of a specific allele of the 12-LO genomic sequence or cDNA

A first preferred DNA construct is based on the tetracycline resistance operon tet from E. coli transposon Tn110 for controlling the 12-LO gene expression, such as described by Gossen et al. (Science, 268:1766-1769, 1995, the disclosure of which is incorporated herein by reference in its entirety). Such a DNA construct contains seven tet operator sequences from Tn10 (tetop) that are fused to either a minimal promoter or a 5′-regulatory sequence of the 12-LO gene, said minimal promoter or said 12-LO regulatory sequence being operably linked to a polynucleotide of interest that codes either for a sense or an antisense oligonucleotide or for a polypeptide, including a 12-LO polypeptide or a peptide fragment thereof. This DNA construct is functional as a conditional expression system for the nucleotide sequence of interest when the same cell also comprises a nucleotide sequence coding for either the wild type (tTA) or the mutant (rTA) repressor fused to the activating domain of viral protein VP16 of herpes simplex virus, placed under the control of a promoter, such as the HCMVIE1 enhancer/promoter or the MMTV-LTR. Indeed, a preferred DNA construct of the invention will comprise both the polynucleotide containing the tet operator sequences and the polynucleotide containing a sequence coding for the tTA or the rTA repressor. In the specific embodiment wherein the conditional expression DNA construct contains the sequence encoding the mutant tetracycline repressor rTA, the expression of the polynucleotide of interest is silent in the absence of tetracycline and induced in its presence.

2. DNA Constructs Allowing Homologous Recombination: Replacement Vectors.

A second preferred DNA construct will comprise, from 5′-end to 3′-end: (a) a first nucleotide sequence that is comprised in the 12-LO genomic sequence; (b) a nucleotide sequence comprising a positive selection marker, such as the marker for neomycine resistance (neo); and (c) a second nucleotide sequence that is comprised in the 12-LO genomic sequence, and is located on the genome downstream the first 12-LO nucleotide sequence (a).

In a preferred embodiment, this DNA construct also comprises a negative selection marker located upstream the nucleotide sequence (a) or downstream the nucleotide sequence (c). Preferably, the negative selection marker consists of the thymidine kinase (tk) gene (Thomas et al., Cell, 44:419-428, 1986, the disclosure of which is incorporated herein by reference in its entirety), the hygromycine beta gene (Te Riele et al., Nature, 348:649-651, 1990, the disclosure of which is incorporated herein by reference in its entirety), the hprt gene (Van der Lugt et al., Gene, 105:263-267, 1991; Reid et al., Proc. Natl. Acad. Sci. USA, 87:4299-4303, 1990, the disclosures of which are incorporated herein by reference in their entireties) or the Diphteria toxin A fragment (Dt-A) gene (Nada et al., Cell, 73:1125-1135, 1993; Yagi et al., Proc. Natl; Acad. Sci. USA, 87:9918-9922, 1990, the disclosures of which are incorporated herein by reference in their entireties). Preferably, the positive selection marker is located within a 12-LO exon sequence so as to interrupt the sequence encoding a 12-LO protein.

These replacement vectors are further described by Mansour et al. (Nature, 336:348-352, 1988, the disclosure of which is incorporated herein by reference in its entirety) and Koller et al. (Ann. Rev. Immunol., 10:705-730, 1992, the disclosure of which is incorporated herein by reference in its entirety).

The first and second nucleotide sequences (a) and (c) may be indifferently located within a 12-LO regulatory sequence, an intronic sequence, an exon sequence or a sequence containing both regulatory and/or intronic and/or exon sequences. The size of the nucleotide sequences (a) and (c) is ranging from 1 to 50 kb, preferably from 1 to 10 kb, more preferably from 2 to 6 kb and most preferably from 2 to 4 kb.

3. DNA Constructs Allowing Homologous Recombination: Cre-loxP System.

These new DNA constructs make use of the site specific recombination system of the P1 phage. The P1 phage possesses a recombinase called Cre which, interacts specifically with a 34 base pairs loxP site. The loxP site is composed of two palindromic sequences of 13 bp separated by a 8 bp conserved sequence (Hoess et al., Nucleic Acids Res., 14:2287-2300, 1986, the disclosure of which is incorporated herein by reference in its entirety). The recombination by the Cre enzyme between two loxP sites having an identical orientation leads to the deletion of the DNA fragment.

The Cre-loxP system used in combination with a homologous recombination technique was first described by Gu et al. (Cell, 73:1155-1164, 1993, the disclosure of which is incorporated herein by reference in its entirety). Briefly, a nucleotide sequence of interest to be inserted in a targeted location of the genome harbors at least two loxP sites in the same orientation and located at the respective ends of a nucleotide sequence to be excised from the recombinant genome. The excision event requires the presence of the recombinase (Cre) enzyme within the nucleus of the recombinant cell host. The recombinase enzyme may be brought at the desired time either by (a) incubating the recombinant cell hosts in a culture medium containing this enzyme, by injecting the Cre enzyme directly into the desired cell, such as described by Araki et al. (Proc. Natl; Acad. Sci. USA, 92: 160-164, 1995, the disclosure of which is incorporated herein by reference in its entirety), or by lipofection of the enzyme into the cells, such as described by Baubonis et al. (Nucleic Acids Res., 21:2025-2029, 1993, the disclosure of which is incorporated herein by reference in its entirety); (b) transfecting the cell host with a vector comprising the Cre coding sequence operably linked to a promoter functional in the recombinant cell host, which promoter being optionally inducible, said vector being introduced in the recombinant cell host, such as described by Gu et al. (Cell, 73:1155-1164, 1993, the disclosure of which is incorporated herein by reference in its entirety) and Sauer et al. (Proc. Natl; Acad. Sci. USA, 85:5166-5170, 1988, the disclosure of which is incorporated herein by reference in its entirety); (c) introducing in the genome of the cell host a polynucleotide comprising the Cre coding sequence operably linked to a promoter functional in the recombinant cell host, which promoter is optionally inducible, and said polynucleotide being inserted in the genome of the cell host either by a random insertion event or an homologous recombination event, such as described by Gu et al. (Science, 265:103-106, 1994, the disclosure of which is incorporated herein by reference in its entirety).

In the specific embodiment wherein the vector containing the sequence to be inserted in the 12-LO gene by homologous recombination is constructed in such a way that selectable markers are flanked by loxP sites of the same orientation, it is possible, by treatment by the Cre enzyme, to eliminate the selectable markers while leaving the 12-LO sequences of interest that have been inserted by an homologous recombination event. Again, two selectable markers are needed: a positive selection marker to select for the recombination event and a negative selection marker to select for the homologous recombination event. Vectors and methods using the Cre-loxP system are further described by Zou et al. (Curr. Biol., 4:1099-1103, 1994), the disclosure of which is incorporated herein by reference in its entirety.

Thus, a third preferred DNA construct of the invention comprises, from 5′-end to 3′-end: (a) a first nucleotide sequence that is comprised in the 12-LO genomic sequence; (b) a nucleotide sequence comprising a polynucleotide encoding a positive selection marker, said nucleotide sequence comprising additionally two sequences defining a site recognized by a recombinase, such as a loxP site, the two sites being placed in the same orientation; and (c) a second nucleotide sequence that is comprised in the 12-LO genomic sequence, and is located on the genome downstream of the first 12-LO nucleotide sequence (a).

The sequences defining a site recognized by a recombinase, such as a loxP site, are preferably located within the nucleotide sequence (b) at suitable locations bordering the nucleotide sequence for which the conditional excision is sought. In one specific embodiment, two loxP sites are located at each side of the positive selection marker sequence, in order to allow its excision at a desired time after the occurrence of the homologous recombination event.

In a preferred embodiment of a method using the third DNA construct described above, the excision of the polynucleotide fragment bordered by the two sites recognized by a recombinase, preferably two loxP sites, is performed at a desired time, due to the presence within the genome of the recombinant cell host of a sequence encoding the Cre enzyme operably linked to a promoter sequence, preferably an inducible promoter, more preferably a tissue-specific promoter sequence and most preferably a promoter sequence which is both inducible and tissue-specific, such as described by Gu et al. (Science, 265:103-106, 1994), the disclosure of which is incorporated herein by reference in its entirety.

The presence of the Cre enzyme within the genome of the recombinant cell host may result of the breeding of two transgenic animals, the first transgenic animal bearing the 12-LO-derived sequence of interest containing the loxP sites as described above and the second transgenic animal bearing the Cre coding sequence operably linked to a suitable promoter sequence, such as described by Gu et al. (Science, 265:103-106, 1994), the disclosure of which is incorporated herein by reference in its entirety.

Spatio-temporal control of the Cre enzyme expression may also be achieved with an adenovirus based vector that contains the Cre gene thus allowing infection of cells, or in vivo infection of organs, for delivery of the Cre enzyme, such as described by Anton et al. (J. Virol., 69:4600-4606, 1995) and Kanegae et al. (Nucleic Acids Res., 23:3816-3821, 1995), the disclosures of which are incorporated herein by reference in their entireties.

The DNA constructs described above may be used to introduce a desired nucleotide sequence of the invention, preferably a 12-LO genomic sequence or a 12-LO cDNA sequence, and most preferably an altered copy of a 12-LO genomic or cDNA sequence, within a predetermined location of the targeted genome, leading either to the generation of an altered copy of a targeted gene (knock-out homologous recombination) or to the replacement of a copy of the targeted gene by another copy sufficiently homologous to allow an homologous recombination event to occur (knock-in homologous recombination).

Recombinant Vectors

The term “vector” is used herein to designate either a circular or a linear DNA or RNA molecule, which is either double-stranded or single-stranded, and which comprise at least one polynucleotide of interest that is sought to be transferred in a cell host or in a unicellular or multicellular host organism.

The present invention encompasses a family of recombinant vectors that comprise a regulatory polynucleotide derived from the 12-LO genomic sequence, or a coding polynucleotide from the 12-LO genomic sequence. Consequently, the present invention further deals with a recombinant vector comprising either a regulatory polynucleotide comprised in the nucleic acid of SEQ ID No. 651 or a polynucleotide comprising the 12-LO coding sequence or both.

In a first preferred embodiment, a recombinant vector of the invention is used to amplify the inserted polynucleotide derived from a 12-LO genomic sequence selected from the group consisting of the nucleic acids of SEQ ID No. 651 or a 12-LO cDNA, for example the cDNA of SEQ ID No. 652 in a suitable host cell, this polynucleotide being amplified each time the recombinant vector replicates. Generally, a recombinant vector of the invention may comprise any of the polynucleotides described herein, including regulatory sequences and coding sequences, as well as any 12-LO primer or probe as defined above.

In a second preferred embodiment, recombinant vectors of the invention consist of expression vectors comprising either a regulatory polynucleotide or a coding nucleic acid of the invention, or both. Within certain embodiments, expression vectors are employed to express the 12-LO polypeptide which can be then purified and, for example be used in ligand screening assays or as an immunogen in order to raise specific antibodies directed against the 12-LO protein. In other embodiments, the expression vectors are used for constructing transgenic animals and also for gene therapy. Expression requires that appropriate signals are provided in the vectors, said signals including various regulatory elements, such as enhancers/promoters from both viral and mammalian sources that drive expression of the genes of interest in host cells. Dominant drug selection markers for establishing permanent, stable cell clones expressing the products are generally included in the expression vectors of the invention, as they are elements that link expression of the drug selection markers to expression of the polypeptide.

More particularly, the present invention relates to expression vectors which include nucleic acids encoding a 12-LO protein, preferably the 12-LO protein of the amino acid sequence of SEQ ID No. 653, under the control of a regulatory sequence selected among the 12-LO regulatory polynucleotides of SEQ ID Nos. 651 and 652, or alternatively under the control of an exogenous regulatory sequence.

Consequently, preferred expression vectors of the invention are selected from the group consisting of: (a) the 12-LO regulatory sequence comprised therein drives the expression of a coding polynucleotide operably linked thereto; (b) the 12-LO coding sequence is operably linked to regulation sequences allowing its expression in a suitable cell host and/or host organism.

Additionally, the recombinant expression vector described above may also comprise a nucleic acid comprising a 5′-regulatory polynucleotide, preferably a 5′-regulatory polynucleotide of the 12-LO gene. Additionally, the recombinant expression vector described above may also comprise a nucleic acid comprising a 3′-regulatory polynucleotide, preferably a 3′-regulatory polynucleotide of the 12-LO gene. The 12-LO 3′-regulatory polynucleotide may also comprise the 3′-UTR sequence contained in the nucleotide sequence of SEQ ID No. 652. The 5′-regulatory polynucleotide may also include the 5′-UTR sequence of the 12-LO cDNA, or a biologically active fragment or variant thereof. The invention also pertains to a recombinant expression vector useful for the expression of the 12-LO coding sequence, wherein said vector comprises a nucleic acid of SEQ ID No. 652.

The invention also relates to a recombinant expression vector comprising a nucleic acid comprising the nucleotide sequence beginning at the nucleotide in position 40 and ending in position 2028 of the polynucleotide of SEQ ID No. 652.

Some of the elements which can be found in the vectors of the present invention are described in further detail in the following sections.

1. General Features of the Expression Vectors of the Invention.

A recombinant vector according to the invention comprises, but is not limited to, a YAC (Yeast Artificial Chromosome), a BAC (Bacterial Artificial Chromosome), a phage, a phagemid, a cosmid, a plasmid or even a linear DNA molecule which may consist of a chromosomal, non-chromosomal, semi-synthetic and synthetic DNA. Such a recombinant vector can comprise a transcriptional unit comprising an assembly of:

-   -   (1) a genetic element or elements having a regulatory role in         gene expression, for example promoters or enhancers. Enhancers         are cis-acting elements of DNA, usually from about 10 to 300 bp         in length that act on the promoter to increase the         transcription.     -   (2) a structural or coding sequence which is transcribed into         mRNA and eventually translated into a polypeptide, said         structural or coding sequence being operably linked to the         regulatory elements described in (1); and     -   (3) appropriate transcription initiation and termination         sequences. Structural units intended for use in yeast or         eukaryotic expression systems preferably include a leader         sequence enabling extracellular secretion of translated protein         by a host cell. Alternatively, when a recombinant protein is         expressed without a leader or transport sequence, it may include         a N-terminal residue. This residue may or may not be         subsequently cleaved from the expressed recombinant protein to         provide a final product.

Generally, recombinant expression vectors will include origins of replication, selectable markers permitting transformation of the host cell, and a promoter derived from a highly expressed gene to direct transcription of a downstream structural sequence. The heterologous structural sequence is assembled in appropriate phase with translation initiation and termination sequences, and preferably a leader sequence capable of directing secretion of the translated protein into the periplasmic space or the extracellular medium. In a specific embodiment wherein the vector is adapted for transfecting and expressing desired sequences in mammalian host cells, preferred vectors will comprise an origin of replication in the desired host, a suitable promoter and enhancer, and also any necessary ribosome binding sites, polyadenylation site, splice donor and acceptor sites, transcriptional termination sequences, and 5′-flanking non-transcribed sequences. DNA sequences derived from the SV40 viral genome, for example SV40 origin, early promoter, enhancer, splice and polyadenylation sites may be used to provide the required non-transcribed genetic elements.

The in vivo expression of a 12-LO polypeptide of SEQ ID Nos. 653 and 654 may be useful in order to correct a genetic defect related to the expression of the native gene in a host organism or to the production of a biologically inactive 12-LO protein.

Consequently, the present invention also deals with recombinant expression vectors mainly designed for the in vivo production of the 12-LO polypeptide of SEQ ID Nos. 653-654 or fragments or variants thereof by the introduction of the appropriate genetic material in the organism of the patient to be treated. This genetic material may be introduced in vitro in a cell that has been previously extracted from the organism, the modified cell being subsequently reintroduced in the said organism, directly in vivo into the appropriate tissue.

2. Regulatory Elements.

The suitable promoter regions used in the expression vectors according to the present invention are chosen taking into account the cell host in which the heterologous gene has to be expressed. The particular promoter employed to control the expression of a nucleic acid sequence of interest is not believed to be important, so long as it is capable of directing the expression of the nucleic acid in the targeted cell. Thus, where a human cell is targeted, it is preferable to position the nucleic acid coding region adjacent to and under the control of a promoter that is capable of being expressed in a human cell, such as, for example, a human or a viral promoter.

A suitable promoter may be heterologous with respect to the nucleic acid for which it controls the expression or alternatively can be endogenous to the native polynucleotide containing the coding sequence to be expressed. Additionally, the promoter is generally heterologous with respect to the recombinant vector sequences within which the construct promoter/coding sequence has been inserted.

Promoter regions can be selected from any desired gene using, for example, CAT (chloramphenicol transferase) vectors and more preferably pKK232-8 and pCM7 vectors.

Preferred bacterial promoters are the LacI, LacZ, the T3 or T7 bacteriophage RNA polymerase promoters, the gpt, lambda PR, PL and trp promoters (EP 0036776, the disclosure of which is incorporated herein by reference in its entirety), the polyhedrin promoter, or the p10 protein promoter from baculovirus (Kit Novagen) (Smith et al., Mol. Cell. Biol. 3:2156-2165, 1983; O'Reilly et al., Baculovirus Expression Vectors: A Laboratory Manual., W.H. Freeman and Co., New York, 1992, the disclosures of which are incorporated herein by reference in their entireties), the lambda PR promoter or also the trc promoter.

Eukaryotic promoters include CMV immediate early, HSV thymidine kinase, early and late SV40, LTRs from retrovirus, and mouse metallothionein-L. Selection of a convenient vector and promoter is well within the level of ordinary skill in the art.

The choice of a promoter is well within the ability of a person skilled in the field of genetic egineering. For example, one may refer to the book of Sambrook et al. (Molecular Cloning: A Laboratory Manual, 2nd edition, Cold Spring Harbor Laboratory, Cold Spring Harbor, N.Y., 1989), the disclosure of which is incorporated herein by reference in its entirety.

Where a cDNA insert is employed, one will typically desire to include a polyadenylation signal to effect proper polyadenylation of the gene transcript. The nature of the polyadenylation signal is not believed to be crucial to the successful practice of the invention, and any such sequence may be employed such as human growth hormone and SV40 polyadenylation signals. Also contemplated as an element of the expression cassette is a terminator. These elements can serve to enhance message levels and to minimize read through from the cassette into other sequences.

The vector containing the appropriate DNA sequence as described above, more preferably 12-LO gene regulatory polynucleotide, a polynucleotide encoding the 12-LO polypeptide of SEQ ID Nos. 653 and 654 or both of them, can be utilized to transform an appropriate host to allow the expression of the desired polypeptide or polynucleotide.

3. Selectable Markers.

Such markers would confer an identifiable change to the cell permitting easy identification of cells containing the expression construct. The selectable marker genes for selection of transformed host cells are preferably dihydrofolate reductase or neomycin resistance for eukaryotic cell culture, TRP1 for S. cerevisiae or tetracycline, rifampicin or ampicillin resistance in E. coli, or levan saccharase for mycobacteria, this latter marker being a negative selection marker.

4. Preferred Vectors.

As a representative but non-limiting example, useful expression vectors for bacterial use can comprise a selectable marker and a bacterial origin of replication derived from commercially available plasmids comprising genetic elements of pBR322 (ATCC 37017). Such commercial vectors include, for example, pKK223-3 (Pharmacia, Uppsala, Sweden), and GEM1 (Promega Biotec, Madison, Wis., USA). Large numbers of other suitable vectors are known to those of skill in the art, and commercially available, such as the following bacterial vectors: pQE70, pQE60, pQE-9 (Qiagen), pbs, pD10, phagescript, psiX174, pbluescript SK, pbsks, pNH8A, pNH16A, pNH18A, pNH46A (Stratagene); ptrc99a, pKK223-3, pKK233-3, pDR540, pRIT5 (Pharmacia); pWLNEO, pSV2CAT, pOG44, pXT1, pSG (Stratagene); pSVK3, pBPV, pMSG, pSVL (Pharmacia); pQE-30 (QIAexpress).

The P1 bacteriophage vector may contain large inserts ranging from about 80 to about 100 kb. The construction of P1 bacteriophage vectors such as p158 or p158/neo8 are described by Sternberg (Mamm. Genome, 5:397-404, 1994), the disclosure of which is incorporated herein by reference in its entirety. Recombinant P1 clones comprising 12-LO nucleotide sequences may be designed for inserting large polynucleotides of more than 40 kb (Linton et al., J. Clin. Invest., 92:3029-3037, 1993), the disclosure of which is incorporated herein by reference in its entirety. To generate P1 DNA for transgenic experiments, a preferred protocol is the protocol described by McCormick et al. (Genet. Anal. Tech. Appl., 11:158-164, 1994). Briefly, E. coli (preferably strain NS3529) harboring the P1 plasmid are grown overnight in a suitable broth medium containing 25 μg/ml of kanamycin. The P1 DNA is prepared from the E. coli by alkaline lysis using the Qiagen Plasmid Maxi kit (Qiagen, Chatsworth, Calif., USA), according to the manufacturer's instructions. The P1 DNA is purified from the bacterial lysate on two Qiagen-tip 500 columns, using the washing and elution buffers contained in the kit. A phenol/chloroform extraction is then performed before precipitating the DNA with 70% ethanol. After solubilizing the DNA in TE (10 mM Tris-HCl, pH 7.4, 1 mM EDTA), the concentration of the DNA is assessed by spectrophotometry.

When the goal is to express a P1 clone comprising 12-LO nucleotide sequences in a transgenic animal, typically in transgenic mice, it is desirable to remove vector sequences from the P1 DNA fragment, for example by cleaving the P1 DNA at rare-cutting sites within the P1 polylinker (SfiI, NotI or SalI). The P1 insert is then purified from vector sequences on a pulsed-field agarose gel, using methods similar using methods similar to those originally reported for the isolation of DNA from YACs (Schedl et al., Nature 362:258-261 1993; Peterson et al., Proc. Natl. Acad. Sci. USA 90:7593-7597, 1993, the disclosures of which are incorporated herein by reference in their entireties). At this stage, the resulting purified insert DNA can be concentrated, if necessary, on a Millipore Ultrafree-MC Filter Unit (Millipore, Bedford, Mass., USA—30,000 molecular weight limit) and then dialyzed against microinjection buffer (10 mM Tris-HCl, pH 7.4; 250 μM EDTA) containing 100 mM NaCl, 30 μM spermidine, 70 μM spermidine on a microdyalisis membrane (type VS, 0.025 μM from Millipore). The intactness of the purified P1 DNA insert is assessed by electrophoresis on 1% agarose (Sea Kem GTG; FMC Bio-products) pulse-field gel and staining with ethidium bromide.

A suitable vector for the expression of the 12-LO polypeptide of SEQ ID Nos. 653 and 654 is a baculovirus vector that can be propagated in insect cells and in insect cell lines. A specific suitable host vector system is the pVL1392/1393 baculovirus transfer vector (Pharmingen) that is used to transfect the SF9 cell line (ATCC NoCRL 1711) which is derived from Spodoptera frugiperda.

Other suitable vectors for the expression of the 12-LO polypeptide of SEQ ID Nos. 653 and 654 in a baculovirus expression system include those described by Chai et al. (Biotech. Appl. Biochem., 18:259-273, 1993), Vlasak et al. (Eur. J. Biochem., 135: 123-126, 1983) and Lenhard et al. (Gene, 169: 187-190, 1996), the disclosures of which are incorporated herein by reference in their entireties.

Retrovirus vectors and adeno-associated virus vectors are generally understood to be the recombinant gene delivery systems of choice for the transfer of exogenous polynucleotides in vivo, particularly to mammals, including humans. These vectors provide efficient delivery of genes into cells, and the transferred nucleic acids are stably integrated into the chromosomal DNA of the host.

Particularly preferred retroviruses for the preparation or construction of retroviral in vitro or in vitro gene delivery vehicles of the present invention include retroviruses selected from the group consisting of Mink-Cell Focus Inducing Virus, Murine Sarcoma Virus, Reticuloendotheliosis virus and Rous Sarcoma virus. Particularly preferred Murine Leukemia Viruses include the 4070A and the 1504A viruses, Abelson (ATCC No. VR-999), Friend (ATCC No. VR-245), Gross (ATCC No. VR-590), Rauscher (ATCC No. VR-998) and Moloney Murine Leukemia Virus (ATCC No. VR-190; PCT Application No. WO 94/24298, the disclosure of which is incorporated herein by reference in its entirety). Particularly preferred Rous Sarcoma Viruses include Bryan high titer (ATCC Nos. VR-334, VR-657, VR-726, VR-659 and VR-728). Other preferred retroviral vectors are those described in Roth et al. (Nature Medicine, 2:985-991, 1996), PCT Application No. WO 93/25234 and PCT Application No. WO 94/06920, the disclosures of which are incorporated herein by reference in their entireties.

Yet another viral vector system that is contemplated by the invention consists in the adeno-associated virus (AAV). The adeno-associated virus is a naturally occurring defective virus that requires another virus, such as an adenovirus or a herpes virus, as a helper virus for efficient replication and a productive life cycle (Muzyczka et al., Current Topics in Microbiol. Immunol., 158:97-129, 1992, the disclosure of which is incorporated herein by reference in its entirety). It is also one of the few viruses that may integrate its DNA into non-dividing cells, and exhibits a high frequency of stable integration (McLaughlin et al., Am. J. Hum. Genet., 59: 561-569, 1989, the disclosure of which is incorporated herein by reference in its entirety). One advantageous feature of AAV derives from its reduced efficacy for transducing primary cells relative to transformed cells.

The bacterial artificial chromosome (BAC) cloning system (Shizuya et al., Proc. Natl. Acad. Sci. U.S.A. 89:8794-8797, 1992, the disclosure of which is incorporated herein by reference in its entirety) has been developed to stably maintain large fragments of genomic DNA (100-300 kb) in E. coli. A preferred BAC vector consists of pBeloBAC11 vector that has been described by Kim et al. (Genomics, 34:213-218,1996), the disclosure of which is incorporated herein by reference in its entirety. BAC libraries are prepared with this vector using size-selected genomic DNA that has been partially digested using enzymes that permit ligation into either the Bam HI or HindIII sites in the vector. Flanking these cloning sites are T7 and SP6 RNA polymerase transcription initiation sites that can be used to generate end probes by either RNA transcription or PCR methods. After the construction of a BAC library in E. coli, BAC DNA is purified from the host cell as a supercoiled circle. Converting these circular molecules into a linear form precedes both size determination and introduction of the BACs into recipient cells. The cloning site is flanked by two Not I sites, permitting cloned segments to be excised from the vector by Not I digestion. Alternatively, the DNA insert contained in the pBeloBAC11 vector may be linearized by treatment of the BAC vector with the commercially available enzyme lambda terminase that leads to the cleavage at the unique cosN site, but this cleavage method results in a full length BAC clone containing both the insert DNA and the BAC sequences.

5. Delivery of the Recombinant Vectors.

In order to effect expression of the polynucleotides and polynucleotide constructs of the invention, these constructs must be delivered into a cell. This delivery may be accomplished in vitro, as in laboratory procedures for transforming cell lines, or in vivo or ex vivo, as in the treatment of certain diseases states. One mechanism is viral infection where the expression construct is encapsidated in an infectious viral particle.

Several non-viral methods for the transfer of polynucleotides into cultured mammalian cells are also contemplated by the present invention, and include, without being limited to, calcium phosphate precipitation (Chen et al., Proc. Natl. Acad. Sci. USA, 94:10756-10761, 1987, the disclosure of which is incorporated herein by reference in its entirety), DEAE-dextran (Gopal, Mol. Cell. Biol., 5:1188-1190, 1985, the disclosure of which is incorporated herein by reference in its entirety), electroporation (Tur-Kaspa et al., Mol. Cell. Biol., 6:716-718, 1986, the disclosure of which is incorporated herein by reference in its entirety), direct microinjection (Harland et al., J. Cell. Biol. 101:1094-1095, 1985), DNA-loaded liposomes (Nicolau et al., Biochim. Biophys. Acta. 721:185-190,1982; Fraley et al., Natl. Acad. Sci. USA 76:3348-3352, 1979, the disclosures of which are incorporated herein by reference in their entireties), and receptor-mediate transfection (Wu and Wu, J. Biol. Chem. 262:44294432, 1987; Wu and Wu Biochemistry 27:887-892, 1988, the disclosures of which are incorporated herein by reference in their entireties). Some of these techniques may be successfully adapted for in vivo or ex vivo use.

Once the expression polynucleotide has been delivered into the cell, it may be stably integrated into the genome of the recipient cell. This integration may be in the cognate location and orientation via homologous recombination (gene replacement) or it may be integrated in a random, non-specific location (gene augmentation). In yet further embodiments, the nucleic acid may be stably maintained in the cell as a separate, episomal segment of DNA. Such nucleic acid segments or “episomes” encode sequences sufficient to permit maintenance and replication independent of or in synchronization with the host cell cycle.

One specific embodiment for a method for delivering a protein or peptide to the interior of a cell of a vertebrate in vivo comprises the step of introducing a preparation comprising a physiologically acceptable carrier and a naked polynucleotide operatively coding for the polypeptide of interest into the interstitial space of a tissue comprising the cell, whereby the naked polynucleotide is taken up into the interior of the cell and has a physiological effect. This is particularly applicable for transfer in vitro but it may be applied to in vivo as well.

Compositions for use in vitro and in vivo comprising a “naked” polynucleotide are described in PCT application No. WO 90/11092 (Vical Inc.) and in PCT application No. WO 95/11307, the disclosures of which are incorporated herein by reference in their entireties.

In still another embodiment of the invention, the transfer of a naked polynucleotide of the invention, including a polynucleotide construct of the invention, into cells may be proceeded with a particle bombardment (biolistic), said particles being DNA-coated microprojectiles accelerated to a high velocity allowing them to pierce cell membranes and enter cells without killing them, such as described by Klein et al. (Nature 327:70-73, 1987), the disclosure of which is incorporated herein by reference in its entirety.

In a further embodiment, the polynucleotide of the invention may be entrapped in a liposome (Ghosh and Bacchawat, Targeting of liposomes to hepatocytes, In: Liver Diseases, Targeted diagnosis and therapy using specific rceptors and ligands, Marcel Dekeker, New York, 87-104, 1991; Wong et al., Gene 10:87-94, 1980; Nicolau et al., Biochim. Biophys. Acta. 721:185-190, 1982, the disclosures of which are incorporated herein by reference in their entireties)

In a specific embodiment, the invention provides a composition for the in vivo production of the 12-LO protein or polypeptide described herein. It comprises a naked polynucleotide operatively coding for this polypeptide, in solution in a physiologically acceptable carrier, and suitable for introduction into a tissue to cause cells of the tissue to express the said protein or polypeptide.

The amount of vector to be injected to the desired host organism varies according to the site of injection. As an indicative dose, it will be injected between 0.1 and 100 μg of the vector in an animal body, preferably a mammal body, for example a mouse body.

In another embodiment of the vector according to the invention, it may be introduced in vitro in a host cell, preferably in a host cell previously harvested from the animal to be treated and more preferably a somatic cell such as a muscle cell. In a subsequent step, the cell that has been transformed with the vector coding for the desired 12-LO polypeptide or the desired fragment thereof is reintroduced into the animal body in order to deliver the recombinant protein within the body either locally or systemically.

Host Cells

Another object of the invention consists of a host cell that have been transformed or transfected with one of the polynucleotides described therein, and more precisely a polynucleotide either comprising a 12-LO regulatory polynucleotide or the coding sequence of the 12-LO polypeptide having the amino acid sequence of SEQ ID Nos. 653 or 654. Are included host cells that are transformed (prokaryotic cells) or that are transfected (eukaryotic cells) with a recombinant vector such as one of those described above.

Generally, a recombinant host cell of the invention comprises any one of the polynucleotides or the recombinant vectors described therein.

A preferred recombinant host cell according to the invention comprises a polynucleotide selected from the following group of polynucleotides:

-   -   a) a purified or isolated nucleic acid encoding a 12-LO         polypeptide, or a polypeptide fragment or variant thereof.     -   b) a purified or isolated nucleic comprising at least 8,         preferably at least 15, more preferably at least 25, consecutive         nucleotides of the nucleotide sequence SEQ ID No. 651, a         nucleotide sequence complementary thereto, or a variant thereof.     -   c) a purified or isolated nucleic acid comprising at least 8         consecutive nucleotides, preferably at least 15, more preferably         at least 25 of the nucleotide sequence SEQ ID No. 652, a         nucleotide sequence complementary thereto or a variant thereof.     -   d) a purified or isolated nucleic acid comprising an exon of the         12-LO gene, a sequence complementary thereto or a fragment or a         variant thereof.     -   e) a purified or isolated nucleic acid comprising a combination         of at least two exons of the 12-LO gene, or the sequences         complementary thereto wherein the polynucleotides are arranged         within the nucleic acid, from the 5′ end to the 3′end of said         nucleic acid, in the same order than in SEQ ID No. 651.     -   f) a purified or isolated nucleic acid comprising the nucleotide         sequence SEQ ID No. 651 or the sequences complementary thereto         or a biologically active fragment thereof.     -   g) a polynucleotide consisting of:         -   (1) a nucleic acid comprising a regulatory polynucleotide of             SEQ ID No. 651 or the sequences complementary thereto or a             biologically active fragment thereof         -   (2) a polynucleotide encoding a desired polypeptide or             nucleic acid.     -   i) a DNA construct as described previously in the present         specification.

Another preferred recombinant cell host according to the present invention is characterized in that its genome or genetic background (including chromosome, plasmids) is modified by the nucleic acid coding for the 12-LO polypeptide of SEQ ID Nos. 653 and 654 or fragments or variants thereof.

Preferred host cells used as recipients for the expression vectors of the invention are the following:

-   -   a) Prokaryotic host cells: Escherichia coli strains (I.E. DH5-α         strain), Bacillus subtilis, Salmonella typhimurium, and strains         from species like Pseudomonas, Streptomyces and Staphylococcus.     -   b) Eukaryotic host cells: HeLa cells (ATCC NoCCL2; NoCCL2.1;         NoCCL2.2), Cv 1 cells (ATCC NoCCL70), COS cells (ATCC NoCRL1650;         NoCRL1651), Sf-9 cells (ATCC NoCRL1711), C127 cells (ATCC         NoCRL-1804), 3T3 (ATCC NoCRL-6361), CHO (ATCC NoCCL-61), human         kidney 293. (ATCC No 45504; NoCRL-1573) and BHK (ECACC No         84100501; No 84111301)     -   c) Other mammalian host cells:

The 12-LO gene expression in mammalian, and typically human, cells may be rendered defective, or alternatively it may be proceeded with the insertion of a 12-LO genomic or cDNA sequence with the replacement of the 12-LO gene counterpart in the genome of an animal cell by a 12-LO polynucleotide according to the invention. These genetic alterations may be generated by homologous recombination events using specific DNA constructs that have been previously described.

One kind of host cell that may be used is mammalian zygotes, such as murine zygotes. For example, murine zygotes may undergo microinjection with a purified DNA molecule of interest, such as a purified DNA molecule that has previously been adjusted to a concentration range from 1 ng/ml (for BAC inserts) 3 ng/μl (for P1 bacteriophage inserts) in 10 mM Tris-HCl, pH 7.4, 250 μM EDTA containing 100 mM NaCl, 30 μM spermine, and 70 μM spermidine. When the DNA to be microinjected is relatively large, polyamines and high salt concentrations can be used to avoid mechanical breakage of this DNA, as described by Schedl et al. (Nucleic Acids Res. 21:4783-4787, 1993), the disclosure of which is incorporated herein by reference in its entirety.

Anyone of the polynucleotides of the invention, including the DNA constructs described herein, may be introduced in an embryonic stem (ES) cell line, preferably a mouse ES cell line. ES cell lines are derived from pluripotent, uncommitted cells of the inner cell mass of pre-implantation blastocysts. Preferred ES cell lines are the following: ES-E14TG2a (ATCC no CRL-1821), ES-D3 (ATCC no CRL1934 and no CRL-11632), YS0001 (ATCC no CRL-11776), 36.5 (ATCC no CRL-11116). To maintain ES cells in an uncommitted state, they are cultured in the presence of growth inhibited feeder cells, which provide the appropriate signals to preserve this embryonic phenotype and serve as a matrix for ES cell adherence. Preferred feeder cells consist of primary embryonic fibroblasts that are established from tissue of day 13-day 14 embryos of virtually any mouse strain, that are maintained in culture, such as described by Abbondanzo et al. (Methods in Enzymology, Academic Press, New York, 803-823, 1993), the disclosure of which is incorporated herein by reference in its entirety, and are inhibited in growth by irradiation, such as described by Robertson (“Embryo-Derived Stem Cell Lines,” E. J Robertson Ed. Teratocarcinomas and Embrionic Stem Cells: A Practical Approach. IRL Press, Oxford, 71, 1987), the disclosure of which is incorporated herein by reference in its entirety, or by the presence of an inhibitory concentration of LIF, such as described by Pease and Williams (Exp. Cell. Res. 190:09-211, 1990), the disclosure of which is incorporated herein by reference in its entirety.

The constructs in the host cells can be used in a conventional manner to produce the gene product encoded by the recombinant sequence.

Following transformation of a suitable host and growth of the host to an appropriate cell density, the selected promoter is induced by appropriate means, such as temperature shift or chemical induction, and cells are cultivated for an additional period.

Cells are typically harvested by centrifugation, disrupted by physical or chemical means, and the resulting crude extract retained for further purification.

Microbial cells employed in the expression of proteins can be disrupted by any convenient method, including freeze-thaw cycling, sonication, mechanical disruption, or use of cell lysing agents. Such methods are well known by the skill artisan.

Transgenic Animals

The terms “transgenic animals” or “host animals” used herein designate animals that have their genome genetically and artificially manipulated so as to include one of the nucleic acids according to the invention. Preferred animals are non-human mammals and include those belonging to a genus selected from Mus (e.g. mice), Rattus (e.g. rats) and Oryctogalus (e.g. rabbits) which have their genome artificially and genetically altered by the insertion of a nucleic acid according to the invention.

The transgenic animals of the invention all include within a plurality of their cells a cloned recombinant or synthetic DNA sequence, more specifically one of the purified or isolated nucleic acids comprising a 12-LO coding sequence, a 12-LO regulatory polynucleotide or a DNA sequence encoding an antisense polynucleotide such as described in the present specification.

Preferred transgenic animals according to the invention contain in their somatic cells and/or in their germ line cells a polynucleotide selected from the following group of polynucleotides:

-   -   a) a purified or isolated nucleic acid encoding a 12-LO         polypeptide, or a polypeptide fragment or variant thereof.     -   b) a purified or isolated nucleic comprising at least 8,         preferably at least 15, more preferably at least 25, consecutive         nucleotides of the nucleotide sequence SEQ ID No. 651, a         nucleotide sequence complementary thereto.     -   c) a purified or isolated nucleic acid comprising at least 8         consecutive nucleotides, preferably at least 15, more preferably         at least 25 of the nucleotide sequence SEQ ID No. 652, a         nucleotide sequence complementary thereto.     -   d) a purified or isolated nucleic acid comprising an exon of the         12-LO gene, a sequence complementary thereto or a fragment or a         variant thereof.     -   e) a purified or isolated nucleic acid comprising a combination         of at least two exons of the 12-LO gene, or the sequences         complementary thereto wherein the polynucleotides are arranged         within the nucleic acid, from the 5′ end to the 3′ end of said         nucleic acid, in the same order than in SEQ ID No. 651.     -   f) a purified or isolated nucleic acid comprising the nucleotide         sequence SEQ ID No. 651 or the sequences complementary thereto         or a biologically active fragment thereof.     -   g) a polynucleotide consisting of:         -   (1) a nucleic acid comprising a regulatory polynucleotide of             SEQ ID No. 651 or the sequences complementary thereto or a             biologically active fragment thereof         -   (2) a polynucleotide encoding a desired polypeptide or             nucleic acid.     -   i) a DNA construct as described previously in the present         specification.

The transgenic animals of the invention thus contain specific sequences of exogenous genetic material such as the nucleotide sequences described above in detail.

In a first preferred embodiment, these transgenic animals may be good experimental models in order to study the diverse pathologies related to cell differentiation, in particular concerning the transgenic animals within the genome of which has been inserted one or several copies of a polynucleotide encoding a native 12-LO protein, or alternatively a mutant 12-LO protein.

In a second preferred embodiment, these transgenic animals may express a desired polypeptide of interest under the control of the regulatory polynucleotides of the 12-LO gene, leading to good yields in the synthesis of this protein of interest, and eventually a tissue specific expression of this protein of interest.

The design of the transgenic animals of the invention may be made according to the conventional techniques well known for one skilled in the art. For more details regarding the production of transgenic animals, and specifically transgenic mice, one may refer to U.S. Pat. No. 4,873,191, issued Oct. 10, 1989, U.S. Pat. No. 5,464,764 issued Nov. 7, 1995 and U.S. Pat. No. 5,789,215, issued Aug. 4, 1998, these documents being herein incorporated by reference in their entireties to disclose methods producing transgenic mice.

Transgenic animals of the present invention are produced by the application of procedures which result in an animal with a genome that has incorporated exogenous genetic material. The procedure involves obtaining the genetic material, or a portion thereof, which encodes either a 12-LO coding sequence, a 12-LO regulatory polynucleotide or a DNA sequence encoding a 12-LO antisense polynucleotide such as described in the present specification.

A recombinant polynucleotide of the invention is inserted into an embryonic or ES stem cell line. The insertion is preferably made using electroporation, such as described by Thomas et al. (Cell 51:503-512, 1987), the disclosure of which is incorporated herein by reference in its entirety. The cells subjected to electroporation are screened (e.g. by selection via selectable markers, by PCR or by Southern blot analysis) to find positive cells which have integrated the exogenous recombinant polynucleotide into their genome, preferably via an homologous recombination event. An illustrative positive-negative selection procedure that may be used according to the invention is described by Mansour et al. (Nature 336:348-352, 1988), the disclosure of which is incorporated herein by reference in its entirety.

Then, the positive cells are isolated, cloned and injected into 3.5 days old blastocysts from mice, such as described by Bradley (“Production and Analysis of Chimaeric Mice,” E. J Robertson (Ed.), Teratocarcinomas and embryonic stem cells: A practical approach IRL Press, Oxford, 113, 1987), the disclosure of which is incorporated herein by reference in its entirety. The blastocysts are then inserted into a female host animal and allowed to grow to term.

Alternatively, the positive ES cells are brought into contact with embryos at the 2.5 days old 8-16 cell stage (morulae) such as described by Wood et al. (Proc. Natl. Acad. Sci. U.S.A. 90:4582-4585, 1993) or by Nagy et al. (Proc. Natl. Acad. Sci. USA. 90: 8424-8428, 1993), the disclosures of which are incorporated herein by reference in their entireties, the ES cells being internalized to colonize extensively the blastocyst including the cells which will give rise to the germ line.

The offspring of the female host are tested to determine which animals are transgenic e.g. include the inserted exogenous DNA sequence and which are wild-type. Thus, the present invention also concerns a transgenic animal containing a nucleic acid, a recombinant expression vector or a recombinant host cell according to the invention.

A further object of the invention consists of recombinant host cells obtained from a transgenic animal described herein.

Recombinant cell lines may be established in vitro from cells obtained from any tissue of a transgenic animal according to the invention, for example by transfection of primary cell cultures with vectors expressing onc-genes such as SV40 large T antigen, as described by Chou (Mol. Endocrinol. 3:1511-1514, 1989) and Shay et al. (Biochem. Biophys. Acta. 1072:1-7, 1991), the disclosures of which are incorporated herein by reference in their entireties.

E. 12-lipoxygenase Polypeptides

The term “12-LO polypeptides” is used herein to embrace all of the proteins and polypeptides of the present invention. Also forming part of the invention are polypeptides encoded by the polynucleotides of the invention, as well as fusion polypeptides comprising such polypeptides. The invention embodies 12-LO proteins from humans, including isolated or purified 12-LO proteins consisting, consisting essentially, or comprising the sequence of SEQ ID Nos. 653 and 654.

Biallelic markers are associated with amino acid substitutions in the polypeptide sequence of 12-LO. It should be noted the 12-LO proteins of the invention are based on the naturally-occurring variants of the amino acid sequence of human 12-LO; wherein the Arg residue of amino acid position 189 has been replaced with a His residue (biallelic marker 10-346-141), the Asp residue of amino acid position 225 has been replaced with a His residue (biallelic marker 10-347-111), the Arg residue of amino acid position 243 has been replaced with a Cys residue (biallelic marker 10-347-165), the Gln residue of amino acid position 261 has been replaced with an Arg residue (biallelic marker 10-347-220), the Ser residue of amino acid position 322 has been replaced with a Asn residue (biallelic marker 10-349-97), the Pro residue of amino acid position 337 has been replaced with an Arg residue (biallelic marker 10-349-142), the Thr residue of amino acid position 568 has been replaced with an Asn residue (biallelic marker 10-340-112) and wherein the Met residue of amino acid position 574 has been replaced with a Lys residue (biallelic marker 10-340-112). Variant proteins and the fragments thereof which contain amino acid position 189 are collectively referred to herein as “189-His variants.” Variant proteins and the fragments thereof which contain amino acid position 225 are collectively referred to herein as “225-His variants.” Variant proteins and the fragments thereof which, contain amino acid position 243, are collectively referred to herein as “243-Cys variants.” Variant proteins and the fragments thereof which contain amino acid position 261 are collectively referred to herein as “261-Arg variants.” Variant proteins and the fragments thereof which contain amino acid position 322 are collectively referred to herein as “322-Asn variants.” Variant proteins and the fragments thereof which contain amino acid position 337 are collectively referred to herein as “337-Arg variants.” Variant proteins and the fragments thereof which contain amino acid position 568 are collectively referred to herein as “568-Asn variants.” Variant proteins and the fragments thereof which contain amino acid position 574 are collectively referred to herein as “574-Lys variants.” In each of these amino acid substitutions the original residue is replaced by a non-equivalent amino acid presenting different chemical properties. Therefore, these substitutions cause alterations in the activity, specificity and function of the 12-LO enzyme.

One allele of biallelic marker 10-349-216 is associated with the deletion of a Leu residue at amino acid position 362 of SEQ ID No. 653. 12-LO polypeptides of the present invention also include 12-LO polypeptides wherein the Leu residue at amino acid position 362 of SEQ ID No. 653 has been deleted.

One allele of biallelic marker 10-343-231 is associated with a frameshift in the open reading frame of the 12-LO gene leading to the expression of the variant 12-LO polypeptide of SEQ ID No. 654.

The present invention embodies isolated, purified, and recombinant polypeptides comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 30, 40, 50, or 100 amino acids of SEQ ID No. 653, wherein said contiguous span comprises at least one amino acid position selected from the group consisting of: an His residue et amino acid position 189, an His residue at amino acid position 225, a Cys residue at amino acid position 243, an Arg residue at amino acid position 261, an Asn residue at amino acid position 322, an Arg residue at amino acid position 337, a Asn residue at amino acid position 362, an Asn at amino acid position 568 and a Lys residue at amino acid position 574.

The present invention further provides isolated, purified, and recombinant polypeptides comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 30, 40, 50, or 100 amino acids of SEQ ID No. 654, wherein said contiguous span comprises at least one of amino acid positions 110-131 of SEQ ID No. 654.

The present invention further embodies isolated, purified, and recombinant polypeptides comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 30, 40, 50, or 100 amino acids of SEQ ID No. 653, wherein said contiguous span comprises a Leu residue at amino acid position 389 of SEQ ID No. 653.

In other preferred embodiments the contiguous stretch of amino acids comprises the site of a mutation or functional mutation, including a deletion, addition, swap or truncation of the amino acids in the 12-LO protein sequence.

12-LO proteins are preferably isolated from human or mammalian tissue samples or expressed from human or mammalian genes. The 12-LO polypeptides of the invention can be made using routine expression methods known in the art. The polynucleotide encoding the desired polypeptide is ligated into an expression vector suitable for any convenient host. Both eukaryotic and prokaryotic host systems are used in forming recombinant polypeptides. The polypeptide is then isolated from lysed cells or from the culture medium and purified to the extent needed for its intended use. Purification is by any technique known in the art, for example, differential extraction, salt fractionation, chromatography, centrifugation, and the like. See, for example, Methods in Enzymology for a variety of methods for purifying proteins.

In addition, shorter protein fragments are produced by chemical synthesis. Alternatively the proteins of the invention are extracted from cells or tissues of humans or non-human animals. Methods for purifying proteins are known in the art, and include the use of detergents or chaotropic agents to disrupt particles followed by differential extraction and separation of the polypeptides by ion exchange chromatography, affinity chromatography, sedimentation according to density, and gel electrophoresis.

Any 12-LO cDNA, including SEQ ID No. 652, is used to express 12-LO proteins and polypeptides. The nucleic acid encoding the 12-LO protein or polypeptide to be expressed is operably linked to a promoter in an expression vector using conventional cloning technology. The 12-LO insert in the expression vector may comprise the full coding sequence for the 12-LO protein or a portion thereof.

The expression vector is any of the mammalian, yeast, insect or bacterial expression systems known in the art. Commercially available vectors and expression systems are available from a variety of suppliers including Genetics Institute (Cambridge, Mass.), Stratagene (La Jolla, Calif.), Promega (Madison, Wis.), and Invitrogen (San Diego, Calif.). If desired, to enhance expression and facilitate proper protein folding, the codon context and codon pairing of the sequence is optimized for the particular expression organism in which the expression vector is introduced, as explained by Hatfield, et al., U.S. Pat. No. 5,082,767, the disclosure of which is incorporated herein by reference in its entirety.

In one embodiment, the entire coding sequence of the 12-LO cDNA through the poly A signal of the cDNA is operably linked to a promoter in the expression vector. Alternatively, if the nucleic acid encoding a portion of the 12-LO protein lacks a methionine to serve as the initiation site, an initiating methionine can be introduced next to the first codon of the nucleic acid using conventional techniques. Similarly, if the insert from the 12-LO cDNA lacks a poly A signal, this sequence can be added to the construct by, for example, splicing out the Poly A signal from pSG5 (Stratagene) using BglI and SalI restriction endonuclease enzymes and incorporating it into the mammalian expression vector pXT1 (Stratagene). pXT1 contains the LTRs and a portion of the gag gene from Moloney Murine Leukemia Virus. The position of the LTRs in the construct allow efficient stable transfection. The vector includes the Herpes Simplex Thymidine Kinase promoter and the selectable neomycin gene. The nucleic acid encoding the 12-LO protein or a portion thereof is obtained by PCR from a bacterial vector containing the 12-LO cDNA of SEQ ID No. 652 using oligonucleotide primers complementary to the 12-LO cDNA or portion thereof and containing restriction endonuclease sequences for Pst I incorporated into the 5′primer and BglII at the 5′ end of the corresponding cDNA 3′ primer, taking care to ensure that the sequence encoding the 12-LO protein or a portion thereof is positioned properly with respect to the poly A signal. The purified fragment obtained from the resulting PCR reaction is digested with PstI, blunt ended with an exonuclease, digested with Bgl II, purified and ligated to pXT1, now containing a poly A signal and digested with BglII.

The ligated product is transfected into mouse NIH 3T3 cells using Lipofectin (Life Technologies, Inc., Grand Island, N.Y.) under conditions outlined in the product specification. Positive transfectants are selected after growing the transfected cells in 600 ug/ml G418 (Sigma, St. Louis, Mo.).

Alternatively, the nucleic acids encoding the 12-LO protein or a portion thereof is cloned into pED6dpc2 (Genetics Institute, Cambridge, Mass.). The resulting pED6dpc2 constructs is transfected into a suitable host cell, such as COS I cells. Methotrexate resistant cells are selected and expanded.

The above procedures may also be used to express a mutant 12-LO protein responsible for a detectable phenotype or a portion thereof.

The expressed proteins are purified using conventional purification techniques such as ammonium sulfate precipitation or chromatographic separation based on size or charge. The protein encoded by the nucleic acid insert may also be purified using standard immunochromatography techniques. In such procedures, a solution containing the expressed 12-LO protein or portion thereof, such as a cell extract, is applied to a column having antibodies against the 12-LO protein or portion thereof is attached to the chromatography matrix. The expressed protein is allowed to bind the immunochromatography column. Thereafter, the column is washed to remove non-specifically bound proteins. The specifically bound expressed protein is then released from the column and recovered using standard techniques.

To confirm expression of the 12-LO protein or a portion thereof, the proteins expressed from host cells containing an expression vector containing an insert encoding the 12-LO protein or a portion thereof can be compared to the proteins expressed in host cells containing the expression vector without an insert. The presence of a band in samples from cells containing the expression vector with an insert which is absent in samples from cells containing the expression vector without an insert indicates that the 12-LO protein or a portion thereof is being expressed. Generally, the band will have the mobility expected for the 12-LO protein or portion thereof. However, the band may have a mobility different than that expected as a result of modifications such as glycosylation, ubiquitination, or enzymatic cleavage.

Antibodies capable of specifically recognizing the expressed 12-LO protein or a portion thereof, are described below.

If antibody production is not possible, the nucleic acids encoding the 12-LO protein or a portion thereof is incorporated into expression vectors designed for use in purification schemes employing chimeric polypeptides. In such strategies the nucleic acid encoding the 12-LO protein or a portion thereof is inserted in frame with the gene encoding the other half of the chimera. The other half of the chimera is β-globin or a nickel binding polypeptide encoding sequence. A chromatography matrix having antibody to β-globin or nickel attached thereto is then used to purify the chimeric protein. Protease cleavage sites is engineered between the β-globin gene or the nickel binding polypeptide and the 12-LO protein or portion thereof. Thus, the two polypeptides of the chimera are separated from one another by protease digestion.

One useful expression vector for generating β-globin chimerics is pSG5 (Stratagene), which encodes rabbit β-globin. Intron II of the rabbit β-globin gene facilitates splicing of the expressed transcript, and the polyadenylation signal incorporated into the construct increases the level of expression. These techniques are well known to those skilled in the art of molecular biology. Standard methods are published in methods texts such as Davis et al., (Basic Methods in Molecular Biology, L. G. Davis, M. D. Dibner, and J. F. Battey, ed., Elsevier Press, NY, 1986, the disclosure of which is incorporated herein by reference in its entirety) and many of the methods are available from Stratagene, Life Technologies, Inc., or Promega. Polypeptide may additionally be produced from the construct using in vitro translation systems such as the In vitro Express™ Translation Kit (Stratagene).

F. Production of Antibodies Against 12-lipoxygenase Polypeptides

Any 12-LO polypeptide or whole protein may be used to generate antibodies capable of specifically binding to expressed 12-LO protein or fragments thereof as described. The antibody compositions of the invention are capable of specifically binding to the 189-His variant of the 12-LO protein or, to the 225-His variant of the 12-LO protein or, to the 243-Cys variant of the 12-LO protein or, to the 261-Arg variant of the 12-LO protein or, to the 322-Asn variant of the 12-LO or, to the 337-Arg variant of the 12-LO protein or to the 574-Lys variant of the 12-LO protein. A preferred embodiment of the invention encompasses isolated or purified antibody compositions capable of selectively binding, or which are capable of binding to an epitope-containing fragment of a polypeptide of the invention, wherein said epitope comprises at least one amino acid position selected from the group consisting of an His residue et amino acid position 189, an His residue at amino acid position 225, a Cys residue at amino acid position 243, an Arg residue at amino acid position 261, an Asn residue at amino acid position 322, an Arg residue at amino acid position 337, a Asn residue at amino acid position 362, an Asn at amino acid position 568 and a Lys residue at amino acid position 574. For an antibody composition to specifically bind to these 12-LO variants it must demonstrate at least a 5%, 10%, 15%, 20%, 25%, 50%, or 100% greater binding affinity for full length 189-His, 225-His, 243-Cys, 261-Arg, 322-Asn, 337-Arg or 574-Lys variants in an ELISA, RIA, or other antibody-based binding assay than to full length 12-LO proteins which have the alternative amino acid specified in SEQ ID No. 653. Affinity of the antibody composition for the epitope can further be determined by preparing competitive binding curves, as described, for example, by Fisher, D., (Manual of Clinical Immunology, 2nd Ed. (Rose and Friedman, Eds.) Amer. Soc. For Microbiol., Washington, D.C., Ch. 42, 1980), the disclosure of which is incorporated herein by reference in its entirety.

Other preferred antibody compositions of the invention are capable of specifically binding to amino acid positions 110-131 of SEQ ID No. 654.

The present invention also contemplates the use of polypeptides comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 50, or 100 amino acids of a 12-LO polypeptide of SEQ ID No. 653 in the manufacture of antibodies, wherein said contiguous span comprises at least one amino acid position selected from the group consisting of: an His residue et amino acid position 189, an His residue at amino acid position 225, a Cys residue at amino acid position 243, an Arg residue at amino acid position 261, an Asn residue at amino acid position 322, an Arg residue at amino acid position 337, a Asn residue at amino acid position 362, an Asn at amino acid position 568 and a Lys residue at amino acid position 574.

In a preferred embodiment such polypeptides are useful in the manufacture of antibodies to detect the presence and absence of the 189-His, 225-His, 243-Cys, 261-Arg, 322-Asn, 337-Arg, 568-Asn, or 574-Lys variant.

The present invention further encompasses the use of isolated, purified, and recombinant polypeptides comprising a contiguous span of at least 6 amino acids, preferably at least 8 to 10 amino acids, more preferably at least 12, 15, 20, 25, 30, 40, 50, or 100 amino acids of SEQ ID No. 654, wherein said contiguous span comprises at least one of amino acid positions 110-131 of SEQ ID No. 654.

In a preferred embodiment such polypeptides are useful in the manufacture of antibodies to detect the presence and absence of amino acid positions 110-131 of SEQ ID No. 654.

Non-human animals or mammals, whether wild-type or transgenic, which express a different species of 12-LO than the one to which antibody binding is desired, and animals which do not express 12-LO (i.e. an 12-LO knock out animal as described in herein) are particularly useful for preparing antibodies. 12-LO knock out animals will recognize all or most of the exposed regions of 12-LO as foreign antigens, and therefore produce antibodies with a wider array of 12-LO epitopes. Moreover, smaller polypeptides with only 10 to 30 amino acids may be useful in obtaining specific binding to the 189-His, 225-His, 243-Cys, 261-Arg, 322-Asn, 337-Arg, 568-Asn, or 574-Lys variants. In addition, the humoral immune system of animals which produce a species of 12-LO that resembles the antigenic sequence will preferentially recognize the differences between the animal's native 12-LO species and the antigen sequence, and produce antibodies to these unique sites in the antigen sequence. Such a technique will be particularly useful in obtaining antibodies that specifically bind to the 189-His, 225-His, 243-Cys, 261-Arg, 322-Asn, 337-Arg, 568-Asn, or 574-Lys variants. The preparation of antibody compositions is further described in Example 6.

Antibody preparations prepared according to the present invention are useful in quantitative immunoassays which determine concentrations of antigen-bearing substances in biological samples; they are also used semi-quantitatively or qualitatively to identify the presence of antigen in a biological sample. The antibodies may also be used in therapeutic compositions for killing cells expressing the protein or reducing the levels of the protein in the body. The antibodies of the invention may be labeled, either by a radioactive, a fluorescent or an enzymatic label. Consequently, the invention is also directed to a method for detecting specifically the presence of a variant 12-LO polypeptide according to the invention in a biological sample, said method comprising the following steps: a) bringing into contact the biological sample with a polyclonal or monoclonal antibody that specifically binds a variant 12-LO polypeptide or to a peptide fragment or variant thereof; and b) detecting the antigen-antibody complex formed. The invention also concerns a diagnostic kit for detecting in vitro the presence of a variant 12-LO polypeptide according to the present invention in a biological sample, wherein said kit comprises:

-   -   a) a polyclonal or monoclonal antibody that specifically binds a         variant 12-LO polypeptide or to a peptide fragment or variant         thereof, optionally labeled;     -   b) a reagent allowing the detection of the antigen-antibody         complexes formed, said reagent carrying optionally a label, or         being able to be recognized itself by a labeled reagent, more         particularly in the case when the above-mentioned monoclonal or         polyclonal antibody is not labeled by itself.         II. Methods for De Novo Identification of Biallelic Markers

Large fragments of human DNA, carrying genes of interest involved in arachidonic acid metabolism; were cloned, sequenced and screened for biallelic markers. Biallelic markers within the candidate genes themselves as well as markers located on the same genomic fragment were identified. It will be clear to one of skill in the art that large fragments of human genomic DNA may be obtained from any appropriate source and may be cloned into a number of suitable vectors.

In a preferred embodiment of the invention, BAC (Bacterial Artificial Chromosomes) vectors were used to construct DNA libraries covering the entire human genome. Specific amplification primers were designed for each candidate gene and the BAC library was screened by PCR until there was at least one positive BAC clone per candidate gene. Genomic sequence, screened for biallelic markers, was generated by sequencing ends of BAC subclones. Details of a preferred embodiment are provided in Example 1. As a preferred alternative to sequencing the ends of an adequate number of BAC subclones, high throughput deletion-based sequencing vectors, which allow the generation of a high quality sequence information covering fragments of about 6 kb, may be used. Having sequence fragments longer than 2.5 or 3 kb enhances the chances of identifying biallelic markers therein. Methods of constructing and sequencing a nested set of deletions are disclosed in the related U.S. patent application entitled “High Throughput DNA Sequencing Vector” (Ser. No. 09/058,746).

In another embodiment of the invention, genomic sequences of candidate genes were available in public databases allowing direct screening for biallelic markers.

Any of a variety of methods can be used to screen a genomic fragment for single nucleotide polymorphisms such as differential hybridization with oligonucleotide probes, detection of changes in the mobility measured by gel electrophoresis or direct sequencing of the amplified nucleic acid. A preferred method for identifying biallelic markers involves comparative sequencing of genomic DNA fragments from an appropriate number of unrelated individuals.

In a first embodiment, DNA samples from unrelated individuals are pooled together, following which the genomic DNA of interest is amplified and sequenced. The nucleotide sequences thus obtained are then analyzed to identify significant polymorphisms. One of the major advantages of this method resides in the fact that the pooling of the DNA samples substantially reduces the number of DNA amplification reactions and sequencing reactions, which must be carried out. Moreover, this method is sufficiently sensitive so that a biallelic marker obtained thereby usually demonstrates a sufficient frequency of its less common allele to be useful in conducting association studies. Usually, the frequency of the least common allele of a biallelic marker identified by this method is at least 10%.

In a second embodiment, the DNA samples are not pooled and are therefore amplified and sequenced individually. This method is usually preferred when biallelic markers need to be identified in order to perform association studies within candidate genes. Preferably, highly relevant gene regions such as promoter regions or exon regions may be screened for biallelic markers. A biallelic marker obtained using this method may show a lower degree of informativeness for conducting association studies, e.g. if the frequency of its less frequent allele may be less than about 10%. Such a biallelic marker will however be sufficiently informative to conduct association studies and it will further be appreciated that including less informative biallelic markers in the genetic analysis studies of the present invention, may allow in some cases the direct identification of causal mutations, which may, depending on their penetrance, be rare mutations.

The following is a description of the various parameters of a preferred method used by the inventors for the identification of the biallelic markers of the present invention.

A. Genomic DNA Samples

The genomic DNA samples from which the biallelic markers of the present invention are generated are preferably obtained from unrelated individuals corresponding to a heterogeneous population of known ethnic background. The number of individuals from whom DNA samples are obtained can vary substantially, preferably from about 10 to about 1000, more preferably from about 50 to about 200 individuals. Usually, DNA samples are collected from at least about 100 individuals in order to have sufficient polymorphic diversity in a given population to identify as many markers as possible and to generate statistically significant results.

As for the source of the genomic DNA to be subjected to analysis, any test sample can be foreseen without any particular limitation. These test samples include biological samples, which can be tested by the methods of the present invention described herein, and include human and animal body fluids such as whole blood, serum, plasma, cerebrospinal fluid, urine, lymph fluids, and various external secretions of the respiratory, intestinal and genitourinary tracts, tears, saliva, milk, white blood cells, myelomas and the like; biological fluids such as cell culture supernatants; fixed tissue specimens including tumor and non-tumor tissue and lymph node tissues; bone marrow aspirates and fixed cell specimens. The preferred source of genomic DNA used in the present invention is from peripheral venous blood of each donor. Techniques to prepare genomic DNA from biological samples are well known to the skilled technician. Details of a preferred embodiment are provided in Example 1. A person skilled in the art can choose to amplify pooled or unpooled DNA samples.

B. DNA Amplification

The identification of biallelic markers in a sample of genomic DNA may be facilitated through the use of DNA amplification methods. DNA samples can be pooled or unpooled for the amplification step. DNA amplification techniques are well known to those skilled in the art. Various methods to amplify DNA fragments carrying biallelic markers are further described hereinafter in III.B. The PCR technology is the preferred amplification technique used to identify new biallelic markers.

In a first embodiment, biallelic markers are identified using genomic sequence information generated by the inventors. Genomic DNA fragments, such as the inserts of the BAC clones described above, are sequenced and used to design primers for the amplification of 500 bp fragments. These 500 bp fragments are amplified from genomic DNA and are scanned for biallelic markers. Primers may be designed using the OSP software (Hillier L. and Green P., Methods Appl. 1: 124-8, 1991). All primers may contain, upstream of the specific target bases, a common oligonucleotide tail that serves as a sequencing primer. Those skilled in the art are familiar with primer extensions, which can be used for these purposes.

In another embodiment of the invention, genomic sequences of candidate genes are available in public databases allowing direct screening for biallelic markers. Preferred primers, useful for the amplification of genomic sequences encoding the candidate genes, focus on promoters, exons and splice sites of the genes. A biallelic marker present in these functional regions of the gene has a higher probability to be a causal mutation.

Preferred primers include those disclosed in Table 13.

C. Sequencing of Amplified Genomic DNA and Identification of Single Nucleotide Polymorphisms

The amplification products generated as described above, are then sequenced using any method known and available to the skilled technician. Methods for sequencing DNA using either the dideoxy-mediated method (Sanger method) or the Maxam-Gilbert method are widely known to those of ordinary skill in the art. Such methods are for example disclosed in Maniatis et al. (Molecular Cloning, A Laboratory Manual, Cold Spring Harbor Press, 2nd Edition, 1989). Alternative approaches include hybridization to high-density DNA probe arrays as described in Chee et al. (Science 274:610, 1996).

Preferably, the amplified DNA is subjected to automated dideoxy terminator sequencing reactions using a dye-primer cycle sequencing protocol. The products of the sequencing reactions are run on sequencing gels and the sequences are determined using gel image analysis. The polymorphism search is based on the presence of superimposed peaks in the electrophoresis pattern resulting from different bases occurring at the same position. Because each dideoxy terminator is labeled with a different fluorescent molecule, the two peaks corresponding to a biallelic site present distinct colors corresponding to two different nucleotides at the same position on the sequence. However, the presence of two peaks can be an artifact due to background noise. To exclude such an artifact, the two DNA strands are sequenced and a comparison between the peaks is carried out. In order to be registered as a polymorphic sequence, the polymorphism has to be detected on both strands.

The above procedure permits those amplification products, which contain biallelic markers to be identified. The detection limit for the frequency of biallelic polymorphisms detected by sequencing pools of 100 individuals is approximately 0.1 for the minor allele, as verified by sequencing pools of known allelic frequencies. However, more than 90% of the biallelic polymorphisms detected by the pooling method have a frequency for the minor allele higher than 0.25. Therefore, the biallelic markers selected by this method have a frequency of at least 0.1 for the minor allele and less than 0.9 for the major allele. Preferably at least 0.2 for the minor allele and less than 0.8 for the major allele, more preferably at least 0.3 for the minor allele and less than 0.7 for the major allele, thus a heterozygosity rate higher than 0.18, preferably higher than 0.32, more preferably higher than 0.42.

In another embodiment, biallelic markers are detected by sequencing individual DNA samples, the frequency of the minor allele of such a biallelic marker may be less than 0.1.

The markers carried by the same fragment of genomic DNA, such as the insert in a BAC clone, need not necessarily be ordered with respect to one another within the genomic fragment to conduct association studies. However, in some embodiments of the present invention, the order of biallelic markers carried by the same fragment of genomic DNA are determined.

D. Validation of the Biallelic Markers of the Present Invention

The polymorphisms are evaluated for their usefulness as genetic markers by validating that both alleles are present in a population. Validation of the biallelic markers is accomplished by genotyping a group of individuals by a method of the invention and demonstrating that both alleles are present. Microsequencing is a preferred method of genotyping alleles. The validation by genotyping step may be performed on individual samples derived from each individual in the group or by genotyping a pooled sample derived from more than one individual. The group can be as small as one individual if that individual is heterozygous for the allele in question. Preferably the group contains at least three individuals, more preferably the group contains five or six individuals, so that a single validation test will be more likely to result in the validation of more of the biallelic markers that are being tested. It should be noted, however, that when the validation test is performed on a small group it may result in a false negative result if as a result of sampling error none of the individuals tested carries one of the two alleles. Thus, the validation process is less useful in demonstrating that a particular initial result is an artifact, than it is at demonstrating that there is a bona fide biallelic marker at a particular position in a sequence. For an indication of whether a particular biallelic marker has been validated see Table 7(A-B). All of the genotyping, haplotyping, association, and interaction study methods of the invention may optionally be performed solely with validated biallelic markers.

E. Evaluation of the Frequency of the Biallelic Markers of the Present Invention

The validated biallelic markers are further evaluated for their usefulness as genetic markers by determining the frequency of the least common allele at the biallelic marker site. The determination of the least common allele is accomplished by genotyping a group of individuals by a method of the invention and demonstrating that both alleles are present. This determination of frequency by genotyping step may be performed on individual samples derived from each individual in the group or by genotyping a pooled sample derived from more than one individual. The group must be large enough to be representative of the population as a whole. Preferably the group contains at least 20 individuals, more preferably the group contains at least 50 individuals, most preferably the group contains at least 100 individuals. Of course the larger the group the greater the accuracy of the frequency determination because of reduced sampling error. For an indication of the frequency for the less common allele of a particular biallelic marker of the invention see Table 7(A-B). A biallelic marker wherein the frequency of the less common allele is 30% or more is termed a “high quality biallelic marker.” All of the genotyping, haplotyping, association, and interaction study methods of the invention may optionally be performed solely with high quality biallelic markers.

III. Methods of Genotyping an Individual for Biallelic Markers

Methods are provided to genotype a biological sample for one or more biallelic markers of the present invention, all of which may be performed in vitro. Such methods of genotyping comprise determining the identity of a nucleotide at an eicosanoid-related biallelic marker by any method known in the art. These methods find use in genotyping case-control populations in association studies as well as individuals in the context of detection of alleles of biallelic markers which, are known to be associated with a given trait, in which case both copies of the biallelic marker present in individual's genome are determined so that an individual may be classified as homozygous or heterozygous for a particular allele.

These genotyping methods can be performed nucleic acid samples derived from a single individual or pooled DNA samples.

Genotyping can be performed using similar methods as those described above for the identification of the biallelic markers, or using other genotyping methods such as those further described below. In preferred embodiments, the comparison of sequences of amplified genomic fragments from different individuals is used to identify new biallelic markers whereas microsequencing is used for genotyping known biallelic markers in diagnostic and association study applications.

A. Source of DNA for Genotyping

Any source of nucleic acids, in purified or non-purified form, can be utilized as the starting nucleic acid, provided it contains or is suspected of containing the specific nucleic acid sequence desired. DNA or RNA may be extracted from cells, tissues, body fluids and the like as described above in II.A. While nucleic acids for use in the genotyping methods of the invention can be derived from any mammalian source, the test subjects and individuals from which nucleic acid samples are taken are generally understood to be human.

B. Amplification of DNA Fragments Comprising Biallelic Markers

Methods and polynucleotides are provided to amplify a segment of nucleotides comprising one or more biallelic marker of the present invention. It will be appreciated that amplification of DNA fragments comprising biallelic markers may be used in various methods and for various purposes and is not restricted to genotyping. Nevertheless, many genotyping methods, although not all, require the previous amplification of the DNA region carrying the biallelic marker of interest. Such methods specifically increase the concentration or total number of sequences that span the biallelic marker or include that site and sequences located either distal or proximal to it. Diagnostic assays may also rely on amplification of DNA segments carrying a biallelic marker of the present invention.

Amplification of DNA may be achieved by any method known in the art. The established PCR (polymerase chain reaction) method or by developments thereof or alternatives. Amplification methods which can be utilized herein include but are not limited to Ligase Chain Reaction (LCR) as described in EP A 320 308 and EP A 439 182, Gap LCR (Wolcott, M. J., Clin. Mcrobiol. Rev. 5:370-386), the so-called “NASBA” or “3SR” technique described in Guatelli J. C. et al. (Proc. Natl. Acad. Sci. USA 87:1874-1878, 1990) and in Compton J. (Nature 350:91-92, 1991), Q-beta amplification as described in European Patent Application no 4544610, strand displacement amplification as described in Walker et al. (Clin. Chem. 42:9-13, 1996) and EP A 684 315 and, target mediated amplification as described in PCT Publication WO 9322461.

LCR and Gap LCR are exponential amplification techniques, both depend on DNA ligase to join adjacent primers annealed to a DNA molecule. In Ligase Chain Reaction (LCR), probe pairs are used which include two primary (first and second) and two secondary (third and fourth) probes, all of which are employed in molar excess to target. The first probe hybridizes to a first segment of the target strand and the second probe hybridizes to a second segment of the target strand, the first and second segments being contiguous so that the primary probes abut one another in 5′ phosphate-3′hydroxyl relationship, and so that a ligase can covalently fuse or ligate the two probes into a fused product. In addition, a third (secondary) probe can hybridize to a portion of the first probe and a fourth (secondary) probe can hybridize to a portion of the second probe in a similar abutting fashion. Of course, if the target is initially double stranded, the secondary probes also will hybridize to the target complement in the first instance. Once the ligated strand of primary probes is separated from the target strand, it will hybridize with the third and fourth probes which can be ligated to form a complementary, secondary ligated product. It is important to realize that the ligated products are functionally equivalent to either the target or its complement. By repeated cycles of hybridization and ligation, amplification of the target sequence is achieved. A method for multiplex LCR has also been described (WO 9320227). Gap LCR (GLCR) is a version of LCR where the probes are not adjacent but are separated by 2 to 3 bases.

For amplification of mRNAs, it is within the scope of the present invention to reverse transcribe mRNA into cDNA followed by polymerase chain reaction (RT-PCR); or, to use a single enzyme for both steps as described in U.S. Pat. No. 5,322,770 or, to use Asymmetric Gap LCR (RT-AGLCR) as described by Marshall R. L. et al. (PCR Methods and Applications 4:80-84, 1994). AGLCR is a modification of GLCR that allows the amplification of RNA.

Some of these amplification methods are particularly suited for the detection of single nucleotide polymorphisms and allow the simultaneous amplification of a target sequence and the identification of the polymorphic nucleotide as it is further described in IIIC.

The PCR technology is the preferred amplification technique used in the present invention. A variety of PCR techniques are familiar to those skilled in the art. For a review of PCR technology, see Molecular Cloning to Genetic Engineering White, B. A. Ed. in Methods in Molecular Biology 67: Humana Press, Totowa (1997) and the publication entitled “PCR Methods and Applications” (1991, Cold Spring Harbor Laboratory Press). In each of these PCR procedures, PCR primers on either side of the nucleic acid sequences to be amplified are added to a suitably prepared nucleic acid sample along with dNTPs and a thermostable polymerase such as Taq polymerase, Pfu polymerase, or Vent polymerase. The nucleic acid in the sample is denatured and the PCR primers are specifically hybridized to complementary nucleic acid sequences in the sample. The hybridized primers are extended. Thereafter, another cycle of denaturation, hybridization, and extension is initiated. The cycles are repeated multiple times to produce an amplified fragment containing the nucleic acid sequence between the primer sites. PCR has further been described in several patents including U.S. Pat. Nos. 4,683,195, 4,683,202 and 4,965,188.

The identification of biallelic markers as described above allows the design of appropriate oligonucleotides, which can be used as primers to amplify DNA fragments comprising the biallelic markers of the present invention. Amplification can be performed using the primers initially used to discover new biallelic markers which are described herein or any set of primers allowing the amplification of a DNA fragment comprising a biallelic marker of the present invention. Primers can be prepared by any suitable method. As for example, direct chemical synthesis by a method such as the phosphodiester method of Narang S. A. et al. (Methods Enzymol. 68:90-98, 1979), the phosphodiester method of Brown E. L. et al. (Methods Enzymol. 68:109-151, 1979), the diethylphosphoramidite method of Beaucage et al. (Tetrahedron Lett. 22:1859-1862, 1981) and the solid support method described in EP 0 707 592.

In some embodiments the present invention provides primers for amplifying a DNA fragment containing one or more biallelic markers of the present invention. Preferred amplification primers are listed in Table 13. It will be appreciated that the primers listed are merely exemplary and that any other set of primers which produce amplification products containing one or more biallelic markers of the present invention.

The primers are selected to be substantially complementary to the different strands of each specific sequence to be amplified. The length of the primers of the present invention can range from 8 to 100 nucleotides, preferably from 8 to 50, 8 to 30 or more preferably 8 to 25 nucleotides. Shorter primers tend to lack specificity for a target nucleic acid sequence and generally require cooler temperatures to form sufficiently stable hybrid complexes with the template. Longer primers are expensive to produce and can sometimes self-hybridize to form hairpin structures. The formation of stable hybrids depends on the melting temperature (Tm) of the DNA. The Tm depends on the length of the primer, the ionic strength of the solution and the G+C content. The higher the G+C content of the primer, the higher is the melting temperature because G:C pairs are held by three H bonds whereas A:T pairs have only two. The G+C content of the amplification primers of the present invention preferably ranges between 10 and 75%, more preferably between 35 and 60%, and most preferably between 40 and 55%. The appropriate length for primers under a particular set of assay conditions may be empirically determined by one of skill in the art.

The spacing of the primers determines the length of the segment to be amplified. In the context of the present invention amplified segments carrying biallelic markers can range in size from at least about 25 bp to 35 kbp. Amplification fragments from 25-3000 bp are typical, fragments from 50-1000 bp are preferred and fragments from 100-600 bp are highly preferred. It will be appreciated that amplification primers for the biallelic markers may be any sequence which allow the specific amplification of any DNA fragment carrying the markers. Amplification primers may be labeled or immobilized on a solid support as described in I “Biallelic Markers and Polynucleotides Comprising Biallelic Markers.”

C. Methods of Genotyping DNA Samples for Biallelic Markers

Any method known in the art can be used to identify the nucleotide present at a biallelic marker site. Since the biallelic marker allele to be detected has been identified and specified in the present invention, detection will prove simple for one of ordinary skill in the art by employing any of a number of techniques. Many genotyping methods require the previous amplification of the DNA region carrying the biallelic marker of interest. While the amplification of target or signal is often preferred at present, ultrasensitive detection methods which do not require amplification are also encompassed by the present genotyping methods. Methods well-known to those skilled in the art that can be used to detect biallelic polymorphisms include methods such as, conventional dot blot analyzes, single strand conformational polymorphism analysis (SSCP) described by Orita et al. (Proc. Natl. Acad. Sci. U.S.A 86:27776-2770, 1989), denaturing gradient gel electrophoresis (DGGE), heteroduplex analysis, mismatch cleavage detection, and other conventional techniques as described in Sheffield, V. C. et al. (Proc. Natl. Acad. Sci. USA 49:699-706, 1991), White et al. (Genomics 12:301-306, 1992), Grompe, M. et al. (Proc. Natl. Acad. Sci. USA 86:5855-5892, 1989) and Grompe, M. (Nature Genetics 5:111-117, 1993). Another method for determining the identity of the nucleotide present at a particular polymorphic site employs a specialized exonuclease-resistant nucleotide derivative as described in U.S. Pat. No. 4,656,127.

Preferred methods involve directly determining the identity of the nucleotide present at a biallelic marker site by sequencing assay, enzyme-based mismatch detection assay, or hybridization assay. The following is a description of some preferred methods. A highly preferred method is the microsequencing technique. The term “sequencing assay” is used herein to refer to polymerase extension of duplex primer/template complexes and includes both traditional sequencing and microsequencing.

1. Sequencing Assays.

The nucleotide present at a polymorphic site can be determined by sequencing methods. In a preferred embodiment, DNA samples are subjected to PCR amplification before sequencing as described above. DNA sequencing methods are described in IIC.

Preferably, the amplified DNA is subjected to automated dideoxy terminator sequencing reactions using a dye-primer cycle sequencing protocol. Sequence analysis allows the identification of the base present at the biallelic marker site.

2. Microsequencing Assays

In microsequencing methods, a nucleotide at the polymorphic site that is unique to one of the alleles in a target DNA is detected by a single nucleotide primer extension reaction. This method involves appropriate microsequencing primers which, hybridize just upstream of a polymorphic base of interest in the target nucleic acid. A polymerase is used to specifically extend the 3′ end of the primer with one single ddNTP (chain terminator) complementary to the selected nucleotide at the polymorphic site. Next the identity of the incorporated nucleotide is determined in any suitable way.

Typically, microsequencing reactions are carried out using fluorescent ddNTPs and the extended microsequencing primers are analyzed by electrophoresis on ABI 377 sequencing machines to determine the identity of the incorporated nucleotide as described in EP 412 883. Alternatively capillary electrophoresis can be used in order to process a higher number of assays simultaneously. An example of a typical microsequencing procedure that can be used in the context of the present invention is provided in Example 2.

Different approaches can be used to detect the nucleotide added to the microsequencing primer. A homogeneous phase detection method based on fluorescence resonance energy transfer has been described by Chen and Kwok (Nucleic Acids Research 25:347-353 1997) and Chen et al. (Proc. Natl. Acad. Sci. USA 94/20 10756-10761,1997). In this method amplified genomic DNA fragments containing polymorphic sites are incubated with a 5′-fluorescein-labeled primer in the presence of allelic dye-labeled dideoxyribonucleoside triphosphates and a modified Taq polymerase. The dye-labeled primer is extended one base by the dye-terminator specific for the allele present on the template. At the end of the genotyping reaction, the fluorescence intensities of the two dyes in the reaction mixture are analyzed directly without separation or purification. All these steps can be performed in the same tube and the fluorescence changes can be monitored in real time. Alternatively, the extended primer may be analyzed by MALDI-TOF Mass Spectrometry. The base at the polymorphic site is identified by the mass added onto the microsequencing primer (see Haff L. A. and Smimov I. P., Genome Research, 7:378-388, 1997).

Microsequencing may be achieved by the established microsequencing method or by developments or derivatives thereof. Alternative methods include several solid-phase microsequencing techniques. The basic microsequencing protocol is the same as described previously, except that the method is conducted as a heterogenous phase assay, in which the primer or the target molecule is immobilized or captured onto a solid support. To simplify the primer separation and the terminal nucleotide addition analysis, oligonucleotides are attached to solid supports or are modified in such ways that permit affinity separation as well as polymerase extension. The 5′ ends and internal nucleotides of synthetic oligonucleotides can be modified in a number of different ways to permit different affinity separation approaches, e.g., biotinylation. If a single affinity group is used on the oligonucleotides, the oligonucleotides can be separated from the incorporated terminator reagent. This eliminates the need of physical or size separation. More than one oligonucleotide can be separated from the terminator reagent and analyzed simultaneously if more than one affinity group is used. This permits the analysis of several nucleic acid species or more nucleic acid sequence information per extension reaction. The affinity group need not be on the priming oligonucleotide but could alternatively be present on the template. For example, immobilization can be carried out via an interaction between biotinylated DNA and streptavidin-coated microtitration wells or avidin-coated polystyrene particles. In the same manner oligonucleotides or templates may be attached to a solid support in a high-density format. In such solid phase microsequencing reactions, incorporated ddNTPs can be radiolabeled (Syvänen, Clinica Chimica Acta 226:225-236, 1994) or linked to fluorescein (Livak and Hainer, Human Mutation 3:379-385,1994). The detection of radiolabeled ddNTPs can be achieved through scintillation-based techniques. The detection of fluorescein-linked ddNTPs can be based on the binding of antifluorescein antibody conjugated with alkaline phosphatase, followed by incubation with a chromogenic substrate (such as p-nitrophenyl phosphate). Other possible reporter-detection pairs include: ddNTP linked to dinitrophenyl (DNP) and anti-DNP alkaline phosphatase conjugate (Harju et al., Clin. Chem. 39/11 2282-2287, 1993) or biotinylated ddNTP and horseradish peroxidase-conjugated streptavidin with o-phenylenediamine as a substrate (WO 92/15712). As yet another alternative solid-phase microsequencing procedure, Nyren et al. (Analytical Biochemistry 208:171-175, 1993) described a method relying on the detection of DNA polymerase activity by an enzymatic luminometric inorganic pyrophosphate detection assay (ELIDA).

Pastinen et al. (Genome research 7:606-614, 1997) describe a method for multiplex detection of single nucleotide polymorphism in which the solid phase minisequencing principle is applied to an oligonucleotide array format. High-density arrays of DNA probes attached to a solid support (DNA chips) are further described in III.C.5.

In one aspect the present invention provides polynucleotides and methods to genotype one or more biallelic markers of the present invention by performing a microsequencing assay. Preferred microsequencing primers include those being featured Table 12. It will be appreciated that the microsequencing primers listed in Table 12 are merely exemplary and that, any primer having a 3′ end immediately adjacent to a polymorphic nucleotide may be used. Similarly, it will be appreciated that microsequencing analysis may be performed for any biallelic marker or any combination of biallelic markers of the present invention. One aspect of the present invention is a solid support which includes one or more microsequencing primers listed in Table 12, or fragments comprising at least 8, at least 12, at least 15, or at least 20 consecutive nucleotides thereof and having a 3′ terminus immediately upstream of the corresponding biallelic marker, for determining the identity of a nucleotide at biallelic marker site.

3. Mismatch Detection Assays Based on Polymerases and Ligases

In one aspect the present invention provides polynucleotides and methods to determine the allele of one or more biallelic markers of the present invention in a biological sample, by mismatch detection assays based on polymerases and/or ligases. These assays are based on the specificity of polymerases and ligases. Polymerization reactions places particularly stringent requirements on correct base pairing of the 3′ end of the amplification primer and the joining of two oligonucleotides hybridized to a target DNA sequence is quite sensitive to mismatches close to the ligation site, especially at the 3′ end. The terms “enzyme based mismatch detection assay” are used herein to refer to any method of determining the allele of a biallelic marker based on the specificity of ligases and polymerases. Preferred methods are described below. Methods, primers and various parameters to amplify DNA fragments comprising biallelic markers of the present invention are further described above in III.B.

Allele Specific Amplification

Discrimination between the two alleles of a biallelic marker can also be achieved by allele specific amplification, a selective strategy, whereby one of the alleles is amplified without amplification of the other allele. This is accomplished by placing a polymorphic base at the 3′ end of one of the amplification primers. Because the extension forms from the 3′end of the primer, a mismatch at or near this position has an inhibitory effect on amplification. Therefore, under appropriate amplification conditions, these primers only direct amplification on their complementary allele. Designing the appropriate allele-specific primer and the corresponding assay conditions are well with the ordinary skill in the art.

Ligation/Amplification Based Methods

The “Oligonucleotide Ligation Assay” (OLA) uses two oligonucleotides which are designed to be capable of hybridizing to abutting sequences of a single strand of a target molecules. One of the oligonucleotides is biotinylated, and the other is detectably labeled. If the precise complementary sequence is found in a target molecule, the oligonucleotides will hybridize such that their termini abut, and create a ligation substrate that can be captured and detected. OLA is capable of detecting biallelic markers and may be advantageously combined with PCR as described by Nickerson D. A. et al. (Proc. Natl. Acad. Sci. U.S.A. 87:8923-8927, 1990). In this method, PCR is used to achieve the exponential amplification of target DNA, which is then detected using OLA.

Other methods which are particularly suited for the detection of biallelic markers include LCR (ligase chain reaction), Gap LCR (GLCR) which are described above in III.B. As mentioned above LCR uses two pairs of probes to exponentially amplify a specific target. The sequences of each pair of oligonucleotides, is selected to permit the pair to hybridize to abutting sequences of the same strand of the target. Such hybridization forms a substrate for a template-dependant ligase. In accordance with the present invention, LCR can be performed with oligonucleotides having the proximal and distal sequences of the same strand of a biallelic marker site. In one embodiment, either oligonucleotide will be designed to include the biallelic marker site. In such an embodiment, the reaction conditions are selected such that the oligonucleotides can be ligated together only if the target molecule either contains or lacks the specific nucleotide(s) that is complementary to the biallelic marker on the oligonucleotide. In an alternative embodiment, the oligonucleotides will not include the biallelic marker, such that when they hybridize to the target molecule, a “gap” is created as described in WO 90/01069. This gap is then “filled” with complementary dNTPs (as mediated by DNA polymerase), or by an additional pair of oligonucleotides. Thus at the end of each cycle, each single strand has a complement capable of serving as a target during the next cycle and exponential allele-specific amplification of the desired sequence is obtained.

Ligase/Polymerase-mediated Genetic Bit Analysis™ is another method for determining the identity of a nucleotide at a preselected site in a nucleic acid molecule (WO 95/21271). This method involves the incorporation of a nucleoside triphosphate that is complementary to the nucleotide present at the preselected site onto the terminus of a primer molecule, and their subsequent ligation to a second oligonucleotide. The reaction is monitored by detecting a specific label attached to the reaction's solid phase or by detection in solution.

4. Hybridization Assay Methods

A preferred method of determining the identity of the nucleotide present at a biallelic marker site involves nucleic acid hybridization. The hybridization probes, which can be conveniently used in such reactions, preferably include the probes defined herein. Any hybridization assay may be used including Southern hybridization, Northern hybridization, dot blot hybridization and solid-phase hybridization (see Sambrook et al., Molecular Cloning—A Laboratory Manual, Second Edition, Cold Spring Harbor Press, N.Y., 1989).

Hybridization refers to the formation of a duplex structure by two single stranded nucleic acids due to complementary base pairing. Hybridization can occur between exactly complementary nucleic acid strands or between nucleic acid strands that contain minor regions of mismatch. Specific probes can be designed that hybridize to one form of a biallelic marker and not to the other and therefore are able to discriminate between different allelic forms. Allele-specific probes are often used in pairs, one member of a pair showing perfect match to a target sequence containing the original allele and the other showing a perfect match to the target sequence containing the alternative allele. Hybridization conditions should be sufficiently stringent that there is a significant difference in hybridization intensity between alleles, and preferably an essentially binary response, whereby a probe hybridizes to only one of the alleles. Stringent, sequence specific hybridization conditions, under which a probe will hybridize only to the exactly complementary target sequence are well known in the art (Sambrook et al., Molecular Cloning—A Laboratory Manual, Second Edition, Cold Spring Harbor Press, N.Y., 1989). Stringent conditions are sequence dependent and will be different in different circumstances. Generally, stringent conditions are selected to be about 5° C. lower than the thermal melting point (Tm) for the specific sequence at a defined ionic strength and pH. By way of example and not limitation, procedures using conditions of high stringency are as follows: Prehybridization of filters containing DNA is carried out for 8 h to overnight at 65° C. in buffer composed of 6×SSC, 50 mM Tris-HCl (pH 7.5), 1 mM EDTA, 0.02% PVP, 0.02% Ficoll, 0.02% BSA, and 500 μg/ml denatured salmon sperm DNA. Filters are hybridized for 48 h at 65° C., the preferred hybridization temperature, in prehybridization mixture containing 100 μg/ml denatured salmon sperm DNA and 5-20×10⁶ cpm of ³²P-labeled probe. Alternatively, the hybridization step can be performed at 65° C. in the presence of SSC buffer, 1×SSC corresponding to 0.15M NaCl and 0.05 M Na citrate. Subsequently, filter washes can be done at 37° C. for 1 h in a solution containing 2×SSC, 0.01% PVP, 0.01% Ficoll, and 0.01% BSA, followed by a wash in 0.1×SSC at 50° C. for 45 min. Alternatively, filter washes can be performed in a solution containing 2×SSC and 0.1% SDS, or 0.5×SSC and 0.1% SDS, or 0.1×SSC and 0.1% SDS at 68° C. for 15 minute intervals. Following the wash steps, the hybridized probes are detectable by autoradiography. By way of example and not limitation, procedures using conditions of intermediate stringency are as follows: Filters containing DNA are prehybridized, and then hybridized at a temperature of 60° C. in the presence of a 5×SSC buffer and labeled probe. Subsequently, filters washes are performed in a solution containing 2×SSC at 50° C. and the hybridized probes are detectable by autoradiography. Other conditions of high and intermediate stringency which may be used are well known in the art and as cited in Sambrook et al. (Molecular Cloning—A Laboratory Manual, Second Edition, Cold Spring Harbor Press, N.Y., 1989) and Ausubel et al. (Current Protocols in Molecular Biology, Green Publishing Associates and Wiley Interscience, N.Y., 1989).

Although such hybridizations can be performed in solution, it is preferred to employ a solid-phase hybridization assay. The target DNA comprising a biallelic marker of the present invention may be amplified prior to the hybridization reaction. The presence of a specific allele in the sample is determined by detecting the presence or the absence of stable hybrid duplexes formed between the probe and the target DNA. The detection of hybrid duplexes can be carried out by a number of methods. Various detection assay formats are well known which utilize detectable labels bound to either the target or the probe to enable detection of the hybrid duplexes. Typically, hybridization duplexes are separated from unhybridized nucleic acids and the labels bound to the duplexes are then detected. Those skilled in the art will recognize that wash steps may be employed to wash away excess target DNA or probe. Standard heterogeneous assay formats are suitable for detecting the hybrids using the labels present on the primers and probes.

Two recently developed assays allow hybridization-based allele discrimination with no need for separations or washes (see Landegren U. et al., Genome Research, 8:769-776,1998). The TaqMan assay takes advantage of the 5′ nuclease activity of Taq DNA polymerase to digest a DNA probe annealed specifically to the accumulating amplification product. TaqMan probes are labeled with a donor-acceptor dye pair that interacts via fluorescence energy transfer. Cleavage of the TaqMan probe by the advancing polymerase during amplification dissociates the donor dye from the quenching acceptor dye, greatly increasing the donor fluorescence. All reagents necessary to detect two allelic variants can be assembled at the beginning of the reaction and the results are monitored in real time (see Livak et al., Nature Genetics, 9:341-342, 1995). In an alternative homogeneous hybridization-based procedure, molecular beacons are used for allele discriminations. Molecular beacons are hairpin-shaped oligonucleotide probes that report the presence of specific nucleic acids in homogeneous solutions. When they bind to their targets they undergo a conformational reorganization that restores the fluorescence of an internally quenched fluorophore (Tyagi et al., Nature Biotechnology, 16:49-53, 1998).

The polynucleotides provided herein can be used in hybridization assays for the detection of biallelic marker alleles in biological samples. These probes are characterized in that they preferably comprise between 8 and 50 nucleotides, and in that they are sufficiently complementary to a sequence comprising a biallelic marker of the present invention to hybridize thereto and preferably sufficiently specific to be able to discriminate the targeted sequence for only one nucleotide variation. The GC content in the probes of the invention usually ranges between 10 and 75%, preferably between 35 and 60%, and more preferably between 40 and 55%. The length of these probes can range from 10, 15, 20, or 30 to at least 100 nucleotides, preferably from 10 to 50, more preferably from 18 to 35 nucleotides. A particularly preferred probe is 25 nucleotides in length. Preferably the biallelic marker is within 4 nucleotides of the center of the polynucleotide probe. In particularly preferred probes the biallelic marker is at the center of said polynucleotide. Shorter probes may lack specificity for a target nucleic acid sequence and generally require cooler temperatures to form sufficiently stable hybrid complexes with the template. Longer probes are expensive to produce and can sometimes self-hybridize to form hairpin structures. Methods for the synthesis of oligonucleotide probes have been described above and can be applied to the probes of the present invention.

Preferably the probes of the present invention are labeled or immobilized on a solid support. Labels and solid supports are further described in I. Detection probes are generally nucleic acid sequences or uncharged nucleic acid analogs such as, for example peptide nucleic acids which are disclosed in International Patent Application WO 92/20702, morpholino analogs which are described in U.S. Pat. Nos. 5,185,444; 5,034,506 and 5,142,047. The probe may have to be rendered “non-extendable” in that additional dNTPs cannot be added to the probe. In and of themselves analogs usually are non-extendable and nucleic acid probes can be rendered non-extendable by modifying the 3′ end of the probe such that the hydroxyl group is no longer capable of participating in elongation. For example, the 3′ end of the probe can be functionalized with the capture or detection label to thereby consume or otherwise block the hydroxyl group. Alternatively, the 3′ hydroxyl group simply can be cleaved, replaced or modified, U.S. patent application Ser. No. 07/049,061 filed Apr. 19, 1993 describes modifications, which can be used to render a probe non-extendable.

The probes of the present invention are useful for a number of purposes. They can be used in Southern hybridization to genomic DNA or Northern hybridization to mRNA. The probes can also be used to detect PCR amplification products. By assaying the hybridization to an allele specific probe, one can detect the presence or absence of a biallelic marker allele in a given sample.

High-Throughput parallel hybridizations in array format are specifically encompassed within “hybridization assays” and are described below.

Hybridization to Addressable Arrays of Oligonucleotides

Hybridization assays based on oligonucleotide arrays rely on the differences in hybridization stability of short oligonucleotides to perfectly matched and mismatched target sequence variants. Efficient access to polymorphism information is obtained through a basic structure comprising high-density arrays of oligonucleotide probes attached to a solid support (the chip) at selected positions. Each DNA chip can contain thousands to millions of individual synthetic DNA probes arranged in a grid-like pattern and miniaturized to the size of a dime.

The chip technology has already been applied with success in numerous cases. For example, the screening of mutations has been undertaken in the BRCA1 gene, in S. cerevisiae mutant strains, and in the protease gene of HIV-1 virus (Hacia et al., Nature Genetics, 14(4):441-447, 1996; Shoemaker et al., Nature Genetics, 14(4):450-456, 1996; Kozal et al., Nature Medicine, 2:753-759, 1996). Chips of various formats for use in detecting biallelic polymorphisms can be produced on a customized basis by Affymetrix (GeneChip™), Hyseq (HyChip and HyGnostics), and Protogene Laboratories.

In general, these methods employ arrays of oligonucleotide probes that are complementary to target nucleic acid sequence segments from an individual which, target sequences include a polymorphic marker. EP785280 describes a tiling strategy for the detection of single nucleotide polymorphisms. Briefly, arrays may generally be “tiled” for a large number of specific polymorphisms. By “tiling” is generally meant the synthesis of a defined set of oligonucleotide probes which is made up of a sequence complementary to the target sequence of interest, as well as preselected variations of that sequence, e.g., substitution of one or more given positions with one or more members of the basis set of monomers, i.e. nucleotides. Tiling strategies are further described in PCT application No. WO 95/11995. In a particular aspect, arrays are tiled for a number of specific, identified biallelic marker sequences. In particular the array is tiled to include a number of detection blocks, each detection block being specific for a specific biallelic marker or a set of biallelic markers. For example, a detection block may be tiled to include a number of probes, which span the sequence segment that includes a specific polymorphism. To ensure probes that are complementary to each allele, the probes are synthesized in pairs differing at the biallelic marker. In addition to the probes differing at the polymorphic base, monosubstituted probes are also generally tiled within the detection block. These monosubstituted probes have bases at and up to a certain number of bases in either direction from the polymorphism, substituted with the remaining nucleotides (selected from A, T, G, C and U). Typically the probes in a tiled detection block will include substitutions of the sequence positions up to and including those that are 5 bases away from the biallelic marker. The monosubstituted probes provide internal controls for the tiled array, to distinguish actual hybridization from artefactual cross-hybridization. Upon completion of hybridization with the target sequence and washing of the array, the array is scanned to determine the position on the array to which the target sequence hybridizes. The hybridization data from the scanned array is then analyzed to identify which allele or alleles of the biallelic marker are present in the sample. Hybridization and scanning may be carried out as described in PCT application No. WO 92/10092 and WO 95/11995 and U.S. Pat. No. 5,424,186.

Thus, in some embodiments, the chips may comprise an array of nucleic acid sequences of fragments of about 15 nucleotides in length. In further embodiments, the chip may comprise an array including at least one of the sequences selected from the group consisting of SEQ ID Nos. 1-70, 72-654 except SEQ ID Nos. 419-424, 490, 531 and 540 and the sequences complementary thereto, or more preferably SEQ ID Nos. 655-724, 726-1304 except SEQ ID Nos. 1073-1078, 1144, 1185, 1194 and the sequences complementary thereto, or a fragment thereof at least about 8 consecutive nucleotides, preferably 10, 15, 20, more preferably 25, 30, 40, 47, or 50 consecutive nucleotides. In some embodiments, the chip may comprise an array of at least 2, 3, 4, 5, 6, 7, 8 or more of these polynucleotides of the invention. Solid supports and polynucleotides of the present invention attached to solid supports are further described in I. Biallelic Markers and Polynucleotides Comprising Biallelic Markers.

5. Integrated Systems

Another technique, which may be used to analyze polymorphisms, includes multicomponent integrated systems, which miniaturize and compartmentalize processes such as PCR and capillary electrophoresis reactions in a single functional device. An example of such technique is disclosed in U.S. Pat. No. 5,589,136, which describes the integration of PCR amplification and capillary electrophoresis in chips.

Integrated systems can be envisaged mainly when micro fluidic systems are used. These systems comprise a pattern of micro channels designed onto a glass, silicon, quartz, or plastic wafer included on a microchip. The movements of the samples are controlled by electric, electroosmotic or hydrostatic forces applied across different areas of the microchip. For genotyping biallelic markers, the microfluidic system may integrate nucleic acid amplification, microsequencing, capillary electrophoresis and a detection method such as laser-induced fluorescence detection.

IV. Methods of Genetic Analysis Using the Biallelic Markers of the Present Invention

Different methods are available for the genetic analysis of complex traits (see Lander and Schork, Science, 265, 2037-2048, 1994). The search for disease-susceptibility genes is conducted using two main methods: the linkage approach in which evidence is sought for cosegregation between a locus and a putative trait locus using family studies, and the association approach in which evidence is sought for a statistically significant association between an allele and a trait or a trait causing allele (Khoury J. et al., Fundamentals of Genetic Epidemiology, Oxford University Press, NY, 1993). In general, the biallelic markers of the present invention find use in any method known in the art to demonstrate a statistically significant correlation between a genotype and a phenotype. The biallelic markers may be used in parametric and non-parametric linkage analysis methods. Preferably, the biallelic markers of the present invention are used to identify genes associated with detectable traits using association studies, an approach which does not require the use of affected families and which permits the identification of genes associated with complex and sporadic traits.

The genetic analysis using the biallelic markers of the present invention may be conducted on any scale. The whole set of biallelic markers of the present invention or any subset of biallelic markers of the present invention may be used. In some embodiments a subset of biallelic markers corresponding to one or several candidate genes of the present invention may be used. In other embodiments a subset of biallelic markers corresponding to candidate genes from a given pathway of arachidonic acid metabolism may be used. Such pathways include the cycloxygenase pathway and the lipoxygenase pathway. Alternatively, a subset of biallelic markers of the present invention localised on a specific chromosome segment may be used. Further, any set of genetic markers including a biallelic marker of the present invention may be used. A set of biallelic polymorphisms that, could be used as genetic markers in combination with the biallelic markers of the present invention, has been described in WO 98/20165. As mentioned above, it should be noted that the biallelic markers of the present invention may be included in any complete or partial genetic map of the human genome. These different uses are specifically contemplated in the present invention and claims.

A. Linkage Analysis

Linkage analysis is based upon establishing a correlation between the transmission of genetic markers and that of a specific trait throughout generations within a family. Thus, the aim of linkage analysis is to detect marker loci that show cosegregation with a trait of interest in pedigrees.

Parametric Methods

When data are available from successive generations there is the opportunity to study the degree of linkage between pairs of loci. Estimates of the recombination fraction enable loci to be ordered and placed onto a genetic map. With loci that are genetic markers, a genetic map can be established, and then the strength of linkage between markers and traits can be calculated and used to indicate the relative positions of markers and genes affecting those traits (Weir, B. S., Genetic data Analysis II: Methods for Discrete population genetic Data, Sinauer Assoc., Inc., Sunderland, Mass., USA, 1996). The classical method for linkage analysis is the logarithm of odds (lod) score method (see Morton N. E., Am. J. Hum. Genet., 7:277-318, 1955; Ott J., Analysis of Human Genetic Linkage, John Hopkins University Press, Baltimore, 1991). Calculation of lod scores requires specification of the mode of inheritance for the disease (parametric method). Generally, the length of the candidate region identified using linkage analysis is between 2 and 20 Mb. Once a candidate region is identified as described above, analysis of recombinant individuals using additional markers allows further delineation of the candidate region. Linkage analysis studies have generally relied on the use of a maximum of 5,000 microsatellite markers, thus limiting the maximum theoretical attainable resolution of linkage analysis to about 600 kb on average.

Linkage analysis has been successfully applied to map simple genetic traits that show clear Mendelian inheritance patterns and which have a high penetrance (i.e., the ratio between the number of affected carriers of allele a and the total number of a carriers in the population). However, parametric linkage analysis suffers from a variety of drawbacks. First, it is limited by its reliance on the choice of a genetic model suitable for each studied trait. Furthermore, as already mentioned, the resolution attainable using linkage analysis is limited, and complementary studies are required to refine the analysis of the typical 2 Mb to 20 Mb regions initially identified through linkage analysis. In addition, parametric linkage analysis approaches have proven difficult when applied to complex genetic traits, such as those due to the combined action of multiple genes and/or environmental factors. It is very difficult to model these factors adequately in a lod score analysis. In such cases, too large an effort and cost are needed to recruit the adequate number of affected families required for applying linkage analysis to these situations, as recently discussed by Risch, N. and Merikangas, K. (Science, 273:1516-1517, 1996).

Non-Parametric Methods

The advantage of the so-called non-parametric methods for linkage analysis is that they do not require specification of the mode of inheritance for the disease, they tend to be more useful for the analysis of complex traits. In non-parametric methods, one tries to prove that the inheritance pattern of a chromosomal region is not consistent with random Mendelian segregation by showing that affected relatives inherit identical copies of the region more often than expected by chance. Affected relatives should show excess “allele sharing” even in the presence of incomplete penetrance and polygenic inheritance. In non-parametric linkage analysis the degree of agreement at a marker locus in two individuals can be measured either by the number of alleles identical by state (IBS) or by the number of alleles identical by descent (IBD). Affected sib pair analysis is a well-known special case and is the simplest form of these methods.

The biallelic markers of the present invention may be used in both parametric and non-parametric linkage analysis. Preferably biallelic markers may be used in non-parametric methods which allow the mapping of genes involved in complex traits. The biallelic markers of the present invention may be used in both IBD- and IBS-methods to map genes affecting a complex trait. In such studies, taking advantage of the high density of biallelic markers, several adjacent biallelic marker loci may be pooled to achieve the efficiency attained by multi-allelic markers (Zhao et al., Am. J. Hum. Genet., 63:225-240, 1998).

However, both parametric and non-parametric linkage analysis methods analyse affected relatives, they tend to be of limited value in the genetic analysis of drug responses or in the analysis of side effects to treatments. This type of analysis is impractical in such cases due to the lack of availability of familial cases. In fact, the likelihood of having more than one individual in a family being exposed to the same drug at the same time is extremely low.

B. Population Association Studies

The present invention comprises methods for identifying one or several genes among a set of candidate genes that are associated with a detectable trait using the biallelic markers of the present invention. In one embodiment the present invention comprises methods to detect an association between a biallelic marker allele or a biallelic marker haplotype and a trait. Further, the invention comprises methods to identify a trait causing allele in linkage disequilibrium with any biallelic marker allele of the present invention.

As described above, alternative approaches can be employed to perform association studies: genome-wide association studies, candidate region association studies and candidate gene association studies. In a preferred embodiment, the biallelic markers of the present invention are used to perform candidate gene association studies. The candidate gene analysis clearly provides a short-cut approach to the identification of genes and gene polymorphisms related to a particular trait when some information concerning the biology of the trait is available. Further, the biallelic markers of the present invention may be incorporated in any map of genetic markers of the human genome in order to perform genome-wide association studies. Methods to generate a high-density map of biallelic markers have been described in WIPO Patent application serial number PCT/IB98/01193. The biallelic markers of the present invention may further be incorporated in any map of a specific candidate region of the genome (a specific chromosome or a specific chromosomal segment for example).

As mentioned above, association studies may be conducted within the general population and are not limited to studies performed on related individuals in affected families. Association studies are extremely valuable as they permit the analysis of sporadic or multifactor traits. Moreover, association studies represent a powerful method for fine-scale mapping enabling much finer mapping of trait causing alleles than linkage studies. Studies based on pedigrees often only narrow the location of the trait causing allele. Association studies using the biallelic markers of the present invention can therefore be used to refine the location of a trait causing allele in a candidate region identified by Linkage Analysis methods. Moreover, once a chromosome segment of interest has been identified, the presence of a candidate gene such as a candidate gene of the present invention, in the region of interest can provide a shortcut to the identification of the trait causing allele. Biallelic markers of the present invention can be used to demonstrate that a candidate gene is associated with a trait. Such uses are specifically contemplated in the present invention and claims.

1. Determining the Frequency of a Biallelic Marker Allele or of a Biallelic Marker Haplotype in a Population

Association studies explore the relationships among frequencies for sets of alleles between loci. In addition, the present invention provides methods of determining the frequency in a population of an allele of a 12-LO-related biallelic marker comprising: a) genotyping individuals from said population for said biallelic marker and, b) determining the proportional representation of said biallelic marker in said population. Optionally, said 12-LO-related biallelic marker is selected from the biallelic markers described in Table 2(a-c). The present invention further provides methods of estimating the frequency of a haplotype for a set of biallelic markers in a population, comprising: a) genotyping each individual in said population for at least one 12-LO-related biallelic marker; b) genotyping each individual in said population for a second biallelic marker by determining the identity of the nucleotides at said second biallelic marker for both copies of said second biallelic marker present in the genome; and c) applying a haplotype determination method to the identities of the nucleotides determined in steps a) and b) to obtain an estimate of said frequency. Optionally, said haplotype determination method is selected from asymmetric PCR amplification, double PCR amplification of specific alleles, the Clark method, or an expectation maximization algorithm. Optionally, said 12-LO-related biallelic marker is selected from the biallelic markers described in Table 2(a-c).

Determining the Frequency of an Allele in a Population

Allelic frequencies of the biallelic markers in a population can be determined using one of the methods described above under the heading “Methods for genotyping an individual for biallelic markers,” or any genotyping procedure suitable for this intended purpose. Genotyping pooled samples or individual samples can determine the frequency of a biallelic marker allele in a population. One way to reduce the number of genotypings required is to use pooled samples. A major obstacle in using pooled samples is in terms of accuracy and reproducibility for determining accurate DNA concentrations in setting up the pools. Genotyping individual samples provides higher sensitivity, reproducibility and accuracy and; is the preferred method used in the present invention. Preferably, each individual is genotyped separately and simple gene counting is applied to determine the frequency of an allele of a biallelic marker or of a genotype in a given population.

Determining the Frequency of a Haplotype in a Population

The gametic phase of haplotypes is unknown when diploid individuals are heterozygous at more than one locus. Using genealogical information in families gametic phase can sometimes be inferred (Perlin et al., Am. J. Hum. Genet., 55:777-787, 1994). When no genealogical information is available different strategies may be used. One possibility is that the multiple-site heterozygous diploids can be eliminated from the analysis, keeping only the homozygotes and the single-site heterozygote individuals, but this approach might lead to a possible bias in the sample composition and the underestimation of low-frequency haplotypes. Another possibility is that single chromosomes can be studied independently, for example, by asymmetric PCR amplification (see Newton et al., Nucleic Acids Res., 17:2503-2516, 1989; Wu et al., Proc. Natl. Acad. Sci. USA, 86:2757, 1989) or by isolation of single chromosome by limit dilution followed by PCR amplification (see Ruano et al., Proc. Natl. Acad. Sci. USA, 87:6296-6300, 1990). Further, a sample may be haplotyped for sufficiently close biallelic markers by double PCR amplification of specific alleles (Sarkar, G. and Sommer S. S., Biotechniques, 1991). These approaches are not entirely satisfying either because of their technical complexity, the additional cost they entail, their lack of generalisation at a large scale, or the possible biases they introduce. To overcome these difficulties, an algorithm to infer the phase of PCR-amplified DNA genotypes introduced by Clark A. G. (Mol. Biol. Evol., 7:111-122, 1990) may be used. Briefly, the principle is to start filling a preliminary list of haplotypes present in the sample by examining unambiguous individuals, that is, the complete homozygotes and the single-site heterozygotes. Then other individuals in the same sample are screened for the possible occurrence of previously recognised haplotypes. For each positive identification, the complementary haplotype is added to the list of recognised haplotypes, until the phase information for all individuals is either resolved or identified as unresolved. This method assigns a single haplotype to each multiheterozygous individual, whereas several haplotypes are possible when there are more than one heterozygous site. Alternatively, one can use methods estimating haplotype frequencies in a population without assigning haplotypes to each individual. Preferably, a method based on an expectation-maximization (EM) algorithm (Dempster et al., J. R. Stat. Soc., 39B: 1-38, 1977) leading to maximum-likelihood estimates of haplotype frequencies under the assumption of Hardy-Weinberg proportions (random mating) is used (see Excoffier L. and Slatkin M., Mol. Biol. Evol., 12(5): 921-927, 1995). The EM algorithm is a generalised iterative maximum-likelihood approach to estimation that is useful when data are ambiguous and/or incomplete. The EM algorithm is used to resolve heterozygotes into haplotypes. Haplotype estimations are further described below under the heading “Statistical methods”. Any other method known in the art to determine or to estimate the frequency of a haplotype in a population may also be used.

2. Linkage Disequilibrium Analysis.

Linkage disequilibrium is the non-random association of alleles at two or more loci and represents a powerful tool for mapping genes involved in disease traits (see Ajioka R. S. et al., Am. J. Hum. Genet., 60:1439-1447, 1997). Biallelic markers, because they are densely spaced in the human genome and can be genotyped in more numerous numbers than other types of genetic markers (such as RFLP or VNTR markers), are particularly useful in genetic analysis based on linkage disequilibrium. The biallelic markers of the present invention may be used in any linkage disequilibrium analysis method known in the art.

When a disease mutation is first introduced into a population (by a new mutation or the immigration of a mutation carrier), it necessarily resides on a single chromosome and thus on a single “background” or “ancestral” haplotype of linked markers. Consequently, there is complete disequilibrium between these markers and the disease mutation: one finds the disease mutation only in the presence of a specific set of marker alleles. Through subsequent generations recombinations occur between the disease mutation and these marker polymorphisms, and the disequilibrium gradually dissipates. The pace of this dissipation is a function of the recombination frequency, so the markers closest to the disease gene will manifest higher levels of disequilibrium than those that are further away. When not broken up by recombination, “ancestral” haplotypes and linkage disequilibrium between marker alleles at different loci can be tracked not only through pedigrees but also through populations. Linkage disequilibrium is usually seen as an association between one specific allele at one locus and another specific allele at a second locus.

The pattern or curve of disequilibrium between disease and marker loci is expected to exhibit a maximum that occurs at the disease locus. Consequently, the amount of linkage disequilibrium between a disease allele and closely linked genetic markers may yield valuable information regarding the location of the disease gene. For fine-scale mapping of a disease locus, it is useful to have some knowledge of the patterns of linkage disequilibrium that exist between markers in the studied region. As mentioned above the mapping resolution achieved through the analysis of linkage disequilibrium is much higher than that of linkage studies. The high density of biallelic markers combined with linkage disequilibrium analysis provides powerful tools for fine-scale mapping. Different methods to calculate linkage disequilibrium are described below under the heading “Statistical Methods”.

3. Population-Based Case-Control Studies of Trait-Marker Associations.

As mentioned above, the occurrence of pairs of specific alleles at different loci on the same chromosome is not random and the deviation from random is called linkage disequilibrium. Association studies focus on population frequencies and rely on the phenomenon of linkage disequilibrium. If a specific allele in a given gene is directly involved in causing a particular trait, its frequency will be statistically increased in an affected (affected) population, when compared to the frequency in a trait negative population or in a random control population. As a consequence of the existence of linkage disequilibrium, the frequency of all other alleles present in the haplotype carrying the trait-causing allele will also be increased in affected (affected) individuals compared to trait negative individuals or random controls. Therefore, association between the trait and any allele (specifically a biallelic marker allele) in linkage disequilibrium with the trait-causing allele will suffice to suggest the presence of a trait-related gene in that particular region. Case-control populations can be genotyped for biallelic markers to identify associations that narrowly locate a trait causing allele. As any marker in linkage disequilibrium with one given marker associated with a trait will be associated with the trait. Linkage disequilibrium allows the relative frequencies in case-control populations of a limited number of genetic polymorphisms (specifically biallelic markers) to be analysed as an alternative to screening all possible functional polymorphisms in order to find trait-causing alleles. Association studies compare the frequency of marker alleles in unrelated case-control populations, and represent powerful tools for the dissection of complex traits.

Case-Control Populations (Inclusion Criteria)

Population-based association studies do not concern familial inheritance but compare the prevalence of a particular genetic marker, or a set of markers, in case-control populations. They are case-control studies based on comparison of unrelated case (affected or affected) individuals and unrelated control (unaffected or trait negative or random) individuals. Preferably the control group is composed of unaffected or trait negative individuals. Further, the control group is ethnically matched to the case population. Moreover, the control group is preferably matched to the case-population for the main known confusion factor for the trait under study (for example age-matched for an age-dependent trait). Ideally, individuals in the two samples are paired in such a way that they are expected to differ only in their disease status. In the following “affected population”, “case population” and “affected population” are used interchangeably.

An important step in the dissection of complex traits using association studies is the choice of case-control populations (see Lander and Schork, Science, 265, 2037-2048, 1994). A major step in the choice of case-control populations is the clinical definition of a given trait or phenotype. Any genetic trait may be analysed by the association method proposed here by carefully selecting the individuals to be included in the affected and control phenotypic groups. Four criteria are often useful: clinical phenotype, age at onset, family history and severity. The selection procedure for continuous or quantitative traits (such as blood pressure for example) involves selecting individuals at opposite ends of the phenotype distribution of the trait under study, so as to include in these affected and control individuals with non-overlapping phenotypes. Preferably, case-control populations consist of phenotypically homogeneous populations. Affected and control populations consist of phenotypically uniform populations of individuals representing each between 1 and 98%, preferably between 1 and 80%, more preferably between 1 and 50%, and more preferably between 1 and 30%, most preferably between 1 and 20% of the total population under study, and selected among individuals exhibiting non-overlapping phenotypes. The clearer the difference between the two trait phenotypes, the greater the probability of detecting an association with biallelic markers. The selection of those drastically different but relatively uniform phenotypes enables efficient comparisons in association studies and the possible detection of marked differences at the genetic level, provided that the sample sizes of the populations under study are significant enough.

In preferred embodiments, a first group of between 50 and 300 affected individuals, preferably about 100 individuals, are recruited according to their phenotypes. A similar number of trait negative individuals are included in such studies.

In the present invention, typical examples of inclusion criteria include a disease involving arachidonic acid metabolism or the evaluation of the response to a drug acting on arachidonic acid metabolism or side effects to treatment with drugs acting on arachidonic acid metabolism.

Suitable examples of association studies using biallelic markers including the biallelic markers of the present invention, are studies involving the following populations:

-   -   a case population suffering from a disease involving arachidonic         acid metabolism and a healthy unaffected control population, or     -   a case population treated with agents acting on arachidonic acid         metabolism suffering from side-effects resulting from the         treatment and a control population treated with the same agents         showing no side-effects, or     -   a case population treated with agents acting on arachidonic acid         metabolism showing a beneficial response and a control         population treated with same agents showing no beneficial         response.

In a preferred embodiment, eicosanoid related-markers may be used to identify individuals who are prone to hepatoxicity as a result of drug treatment. This includes diagnostic and prognostic assays to identify individuals who are prone to liver toxicity as a result of drug treatment, as well as clinical trials and treatment regimes which utilize these assays. Said drug treatment may include any pharmaceutical compound suspected or known in the art to result in an increased level of hepatoxicity.

In another preferred embodiment, the trait considered was a side effect upon drug treatment; the study involved two populations derived from a clinical study of the anti-asthmatic drug zileuton. The case population was composed of asthmatic individuals treated with Zileuton showing zileuton-associated hepatotoxicity monitored by the serum level of alanine aminotransferase (ALT) and the control population was composed of asthmatic individuals treated with zileuton and having no increased serum level of ALT. Inclusion criteria and association between the biallelic markers of the present invention and zileuton-associated hepatotoxicity are further described below in IV.E. Association of Biallelic Markers of the Invention with Hepatoxicity to Anti-Asthma Drug Zileuton and in Example 5, Association between Side Effects upon Treatment with the Anti-Asthmatic Drug Zileuton (Zyflo™) and the Biallelic Markers of the 12-lipoxygenase Gene.

Association Analysis

The general strategy to perform association studies using biallelic markers derived from a region carrying a candidate gene is to scan two groups of individuals (case-control populations) in order to measure and statistically compare the allele frequencies of the biallelic markers of the present invention in both groups.

If a statistically significant association with a trait is identified for at least one or more of the analysed biallelic markers, one can assume that: either the associated allele is directly responsible for causing the trait (the associated allele is the trait causing allele), or more likely the associated allele is in linkage disequilibrium with the trait causing allele. The specific characteristics of the associated allele with respect to the candidate gene function usually gives further insight into the relationship between the associated allele and the trait (causal or in linkage disequilibrium). If the evidence indicates that the associated allele within the candidate gene is most probably not the trait causing allele but is in linkage disequilibrium with the real trait causing allele, then the trait causing allele can be found by sequencing the vicinity of the associated marker.

Association studies are usually run in two successive steps. In a first phase, the frequencies of a reduced number of biallelic markers from one or several candidate genes are determined in the affected and control populations. In a second phase of the analysis, the identity of the candidate gene and the position of the genetic loci responsible for the given trait is further refined using a higher density of markers from the relevant region. However, if the candidate gene under study is relatively small in length, as it is the case for many of the candidate genes analysed included in the present invention, a single phase may be sufficient to establish significant associations.

Haplotype Analysis

As described above, when a chromosome carrying a disease allele first appears in a population as a result of either mutation or migration, the mutant allele necessarily resides on a chromosome having a set of linked markers: the ancestral haplotype. This haplotype can be tracked through populations and its statistical association with a given trait can be analysed. Complementing single point (allelic) association studies with multi-point association studies also called haplotype studies increases the statistical power of association studies. Thus, a haplotype association study allows one to define the frequency and the type of the ancestral carrier haplotype. A haplotype analysis is important in that it increases the statistical power of an analysis involving individual markers.

In a first stage of a haplotype frequency analysis, the frequency of the possible haplotypes based on various combinations of the identified biallelic markers of the invention is determined. The haplotype frequency is then compared for distinct populations of affected and control individuals. The number of affected individuals, which should be, subjected to this analysis to obtain statistically significant results usually ranges between 30 and 300, with a preferred number of individuals ranging between 50 and 150. The same considerations apply to the number of unaffected individuals (or random control) used in the study. The results of this first analysis provide haplotype frequencies in case-control populations, for each evaluated haplotype frequency a p-value and an odd ratio are calculated. If a statistically significant association is found the relative risk for an individual carrying the given haplotype of being affected with the trait under study can be approximated.

Interaction Analysis

The biallelic markers of the present invention may also be used to identify patterns of biallelic markers associated with detectable traits resulting from polygenic interactions. The analysis of genetic interaction between alleles at unlinked loci requires individual genotyping using the techniques described herein. The analysis of allelic interaction among a selected set of biallelic markers with appropriate level of statistical significance can be considered as a haplotype analysis. Interaction analysis consists in stratifying the case-control populations with respect to a given haplotype for the first loci and performing a haplotype analysis with the second loci with each subpopulation.

Statistical methods used in association studies are further described below in IV.C “Statistical Methods.”

4. Testing for Linkage in the Presence of Association.

The biallelic markers of the present invention may further be used in TDT (transmission/disequilibrium test). TDT tests for both linkage and association and is not affected by population stratification. TDT requires data for affected individuals and their parents or data from unaffected sibs instead of from parents (see Spielmann S. et al., Am. J. Hum. Genet., 52:506-516, 1993; Schaid D. J. et al., Genet. Epidemiol., 13:423450, 1996, Spielmann S. and Ewens W. J., Am. J. Hum. Genet., 62:450-458, 1998). Such combined tests generally reduce the false-positive errors produced by separate analyses.

C. Statistical Methods

In general, any method known in the art to test whether a trait and a genotype show a statistically significant correlation may be used.

1. Methods in Linkage Analysis.

Statistical methods and computer programs useful for linkage analysis are well-known to those skilled in the art (see Terwilliger J. D. and Ott J., Handbook of Human Genetic Linkage, John Hopkins University Press, London, 1994; Ott J., Analysis of Human Genetic Linkage, John Hopkins University Press, Baltimore, 1991).

2. Methods to Estimate Haplotype Frequencies in a Population.

As described above, when genotypes are scored, it is often not possible to distinguish heterozygotes so that haplotype frequencies cannot be easily inferred. When the gametic phase is not known, haplotype frequencies can be estimated from the multilocus genotypic data. Any method known to person skilled in the art can be used to estimate haplotype frequencies (see Lange K., Mathematical and Statistical Methods for Genetic Analysis, Springer, New York, 1997; Weir, B. S., Genetic data Analysis II: Methods for Discrete population genetic Data, Sinauer Assoc., Inc., Sunderland, Mass., USA, 1996) Preferably, maximum-likelihood haplotype frequencies are computed using an Expectation-Maximization (EM) algorithm (see Dempster et al., J. R. Stat. Soc., 39B: 1-38, 1977; Excoffier L. and Slatkin M., Mol. Biol. Evol., 12(5): 921-927, 1995). This procedure is an iterative process aiming at obtaining maximum-likelihood estimates of haplotype frequencies from multi-locus genotype data when the gametic phase is unknown. Haplotype estimations are usually performed by applying the EM algorithm using for example the EM-HAPLO program (Hawley M. E. et al., Am. J. Phys. Anthropol., 18:104, 1994) or the Arlequin program (Schneider et al., Arlequin: a software for population genetics data analysis, University of Geneva, 1997). The EM algorithm is a generalised iterative maximum likelihood approach to estimation and is briefly described below.

In what follows, phenotypes will refer to multi-locus genotypes with unknown haplotypic phase. Genotypes will refer to mutli-locus genotypes with known haplotypic phase.

Suppose one has a sample of N unrelated individuals typed for K markers. The data observed are the unknown-phase K-locus phenotypes that can be categorized with F different phenotypes. Further, suppose that we have H possible haplotypes (in the case of K biallelic markers, we have for the maximum number of possible haplotypes H=2^(K)). For phenotype j with c_(j) possible genotypes, we have: $\begin{matrix} {P_{j} = {{\sum\limits_{i = 1}^{c_{j}}{P\left( {{genotype}(i)} \right)}} = {\sum\limits_{i = 1}^{c_{j}}{{P\left( {h_{k},h_{l}} \right)}.}}}} & {{Equation}\quad 1} \end{matrix}$ Here, P_(j) is the probability of the j^(th) phenotype, and P(h_(k),h_(l)) is the probability of the i^(th) genotype composed of haplotypes h_(k) and h_(l). Under random mating (i.e. Hardy-Weinberg Equilibrium), P(h_(k)h_(l)) is expressed as: P(h _(k) ,h _(l))=P(h _(k))² for h_(k)=h_(l, and) P(h _(k) ,h _(l))=2P(h _(k))P(h _(l)) for h_(k)≠h_(l).  Equation 2

The E-M algorithm is composed of the following steps: First, the genotype frequencies are estimated from a set of initial values of haplotype frequencies. These haplotype frequencies are denoted P₁ ⁽⁰⁾, P₂ ⁽⁰⁾, P₃ ⁽⁰⁾, . . . , P_(H) ⁽⁰⁾. The initial values for the haplotype frequencies may be obtained from a random number generator or in some other way well known in the art. This step is referred to the Expectation step. The next step in the method, called the Maximization step, consists of using the estimates for the genotype frequencies to re-calculate the haplotype frequencies. The first iteration haplotype frequency estimates are denoted by P₁ ⁽¹⁾, P₂ ⁽¹⁾, P₃ ⁽¹⁾, . . . , P_(H) ⁽¹⁾. In general, the Expectation step at the s^(th) iteration consists of calculating the probability of placing each phenotype into the different possible genotypes based on the haplotype frequencies of the previous iteration: $\begin{matrix} {{{P\left( {h_{k},h_{l}} \right)}^{(s)} = {\frac{n_{j}}{N}\left\lbrack \frac{{P_{j}\left( {h_{k},h_{l}} \right)}^{(s)}}{P_{j}} \right\rbrack}},} & {{Equation}\quad 3} \end{matrix}$ where n_(j) is the number of individuals with the j^(th) phenotype and P_(j)(h_(k),h_(l))^((s)) is the probability of genotype h_(k,)h_(l) in phenotype j. In the Maximization step, which is equivalent to the gene-counting method (Smith, Ann. Hum. Genet., 21:254-276, 1957), the haplotype frequencies are re-estimated based on the genotype estimates: $\begin{matrix} {P_{t}^{({s + 1})} = {\frac{1}{2}{\sum\limits_{j = 1}^{F}{\sum\limits_{i = 1}^{c_{j}}{\delta_{it}{{P_{j}\left( {h_{k},h_{l}} \right)}^{(s)}.}}}}}} & {{Equation}\quad 4} \end{matrix}$ Here, δ_(it) is an indicator variable which counts the number of occurrences that haplotype t is present in i^(th) genotype; it takes on values 0, 1, and 2.

The E-M iterations cease when the following criterion has been reached. Using Maximum Likelihood Estimation (MLE) theory, one assumes that the phenotypes j are distributed multinomially. At each iteration s, one can compute the likelihood function L. Convergence is achieved when the difference of the log-likehood between two consecutive iterations is less than some small number, preferably 10⁻⁷.

3. Methods to Calculate Linkage Disequilibrium Between Markers.

A number of methods can be used to calculate linkage disequilibrium between any two genetic positions, in practice linkage disequilibrium is measured by applying a statistical association test to haplotype data taken from a population.

Linkage disequilibrium between any pair of biallelic markers comprising at least one of the biallelic markers of the present invention (M_(i), M_(j)) having alleles (a_(i)/b_(i)) at marker M_(i) and alleles (a_(j)/b_(j)) at marker M_(j) can be calculated for every allele combination (a_(i),a_(j); a_(i),b_(j); b_(i),a_(j) and b_(i),b_(j)), according to the Piazza formula: Δ_(aiaj)={square root}θ4−{square root}(θ4+θ3)(θ4+θ2), where:

-   θ4=−−=frequency of genotypes not having allele a_(i) at M_(i) and     not having allele a_(j) at M_(j) -   θ3=−+=frequency of genotypes not having allele a_(i) at M_(i) and     having allele a_(j) at M_(j) -   θ2=+−=frequency of genotypes having allele a_(i) at M_(i) and not     having allele a_(j) at M_(j)

Linkage disequilibrium (LD) between pairs of biallelic markers (M_(i), M_(j)) can also be calculated for every allele combination (ai,aj; ai,bj; b_(i),a_(j) and b_(i),b_(j)), according to the maximum-likelihood estimate (MLE) for delta (the composite genotypic disequilibrium coefficient), as described by Weir (Weir B. S., Genetic Data Analysis, Sinauer Ass. Eds, 1996). The MLE for the composite linkage disequilibrium is: D _(aiaj)=(2n ₁ +n ₂ +n ₃ +n ₄/2)/N−2(pr(a _(i)).pr(a _(j))) Where n₁=Σ phenotype (a_(i)/a_(i), a_(j)/a_(j)), n₂=Σ phenotype (a_(i)/a_(i), a_(j)/b_(j)), n₃=Σ phenotype (a_(i)/b_(i), a_(j)/a_(j)), n4=Σ phenotype (a_(i)/b_(i), a_(j)/b_(j)) and N is the number of individuals in the sample.

This formula allows linkage disequilibrium between alleles to be estimated when only genotype, and not haplotype, data are available.

Another means of calculating the linkage disequilibrium between markers is as follows. For a couple of biallelic markers, M_(i) (a_(i)/b_(i)) and M_(j) (a_(j)/b_(j)), fitting the Hardy-Weinberg equilibrium, one can estimate the four possible haplotype frequencies in a given population according to the approach described above.

The estimation of gametic disequilibrium between ai and aj is simply: D _(aiaj) =pr(haplotype(a _(i) ,a _(j)))−pr(a _(i)).pr(a _(j)).

Where pr(a_(i)) is the probability of allele a_(i) and pr(a_(j)) is the probability of allele a_(j) and where pr(haplotype (a_(i), a_(j))) is estimated as in Equation 3 above.

For a couple of biallelic marker only one measure of disequilibrium is necessary to describe the association between M_(i) and M_(j).

Then a normalised value of the above is calculated as follows: D′ _(aiaj) =D _(aiaj)/max(−pr(a _(i)).pr(a _(j)),−pr(b _(i)).pr(b _(j))) with D_(aiaj)<0 D′ _(aiaj) =D _(aiaj)/max(pr(b _(i)).pr ₍ a _(j)),pr(a _(i)).pr(b _(j))) with D_(ajij)>0

The skilled person will readily appreciate that other LD calculation methods can be used without undue experimentation.

Linkage disequilibrium among a set of biallelic markers having an adequate heterozygosity rate can be determined by genotyping between 50 and 1000 unrelated individuals, preferably between 75 and 200, more preferably around 100.

4. Testing for Association.

Methods for determining the statistical significance of a correlation between a phenotype and a genotype, in this case an allele at a biallelic marker or a haplotype made up of such alleles, may be determined by any statistical test known in the art and with any accepted threshold of statistical significance being required. The application of particular methods and thresholds of significance are well with in the skill of the ordinary practitioner of the art.

Testing for association is performed by determining the frequency of a biallelic marker allele in case and control populations and comparing these frequencies with a statistical test to determine if their is a statistically significant difference in frequency which would indicate a correlation between the trait and the biallelic marker allele under study. Similarly, a haplotype analysis is performed by estimating the frequencies of all possible haplotypes for a given set of biallelic markers in case and control populations, and comparing these frequencies with a statistical test to determine if their is a statistically significant correlation between the haplotype and the phenotype (trait) under study. Any statistical tool useful to test for a statistically significant association between a genotype and a phenotype may be used. Preferably the statistical test employed is a chi-square test with one degree of freedom. A P-value is calculated (the P-value is the probability that a statistic as large or larger than the observed one would occur by chance).

Statistical Significance

In preferred embodiments, significance for diagnosis purposes, either as a positive basis for further diagnostic tests or as a preliminary starting point for early preventive therapy, the p value related to a biallelic marker association is preferably about 1×10-2 or less, more preferably about 1×10-4 or less, for a single biallelic marker analysis and about 1×10-3 or less, still more preferably 1×10-6 or less and most preferably of about 1×10-8 or less, for a haplotype analysis involving several markers. These values are believed to be applicable to any association studies involving single or multiple marker combinations.

The skilled person can use the range of values set forth above as a starting point in order to carry out association studies with biallelic markers of the present invention. In doing so, significant associations between the biallelic markers of the present invention and diseases involving arachidonic acid metabolism can be revealed and used for diagnosis and drug screening purposes.

Phenotypic Permutation

In order to confirm the statistical significance of the first stage haplotype analysis described above, it might be suitable to perform further analyses in which genotyping data from case-control individuals are pooled and randomised with respect to the trait phenotype. Each individual genotyping data is randomly allocated to two groups, which contain the same number of individuals as the case-control populations used to compile the data obtained in the first stage. A second stage haplotype analysis is preferably run on these artificial groups, preferably for the markers included in the haplotype of the first stage analysis showing the highest relative risk coefficient. This experiment is reiterated preferably at least between 100 and 10000 times. The repeated iterations allow the determination of the percentage of obtained haplotypes with a significant p-value level.

Assessment of Statistical Association

To address the problem of false positives similar analysis may be performed with the same case-control populations in random genomic regions. Results in random regions and the candidate region are compared as described in US Provisional Patent Application entitled “Methods, software and apparati for identifying genomic regions harbouring a gene associated with a detectable trait”.

5. Evaluation of Risk Factors.

The association between a risk factor (in genetic epidemiology the risk factor is the presence or the absence of a certain allele or haplotype at marker loci) and a disease is measured by the odds ratio (OR) and by the relative risk (RR). If P(R⁺) is the probability of developing the disease for individuals with R and P(R⁻) is the probability for individuals without the risk factor, then the relative risk is simply the ratio of the two probabilities, that is: RR=P(R ⁺)/P(R ⁻)

In case-control studies, direct measures of the relative risk cannot be obtained because of the sampling design. However, the odds ratio allows a good approximation of the relative risk for low-incidence diseases and can be calculated: ${OR} = {\left\lbrack \frac{F^{+}}{1 - F^{+}} \right\rbrack/\left\lbrack \frac{F^{-}}{\left( {1 - F^{-}} \right)} \right\rbrack}$ F⁺ is the frequency of the exposure to the risk factor in cases and F⁻ is the frequency of the exposure to the risk factor in controls. F⁺ and F⁻ are calculated using the allelic or haplotype frequencies of the study and further depend on the underlying genetic model (dominant, recessive, additive . . . ).

One can further estimate the attributable risk (AR) which describes the proportion of individuals in a population exhibiting a trait due to a given risk factor. This measure is important in quantitating the role of a specific factor in disease etiology and in terms of the public health impact of a risk factor. The public health relevance of this measure lies in estimating the proportion of cases of disease in the population that could be prevented if the exposure of interest were absent. AR is determined as follows: AR=P _(E)(RR−1)/(P _(E)(RR−1)+1)

AR is the risk attributable to a biallelic marker allele or a biallelic marker haplotype. P_(E) is the frequency of exposure to an allele or a haplotype within the population at large; and RR is the relative risk which, is approximated with the odds ratio when the trait under study has a relatively low incidence in the general population.

D. Association of Biallelic Markers of the Invention with Asthma

In the context of the present invention, an association between biallelic marker alleles from candidate genes of the present invention and a disease linked to arachidonic acid metabolism was demonstrated. The considered trait was asthma.

Asthma affects over 5% of the population in industrialized countries. It is increasing in prevalence and severity and has a rising mortality (Rang H. P., Ritter J. M. and Dale M. M.; Pharmacology; Churchill Livingstone, N.Y., 1995). Bronchial asthma is a multifactorial syndrome rather than a single disease, defined as airway obstruction characterized by inflammatory changes in the airways and bronchial hyper-responsiveness. In addition to the evidenced impact of environmental factors on the development of asthma, patterns of clustering and segregation in asthmatic families have suggested a genetic component to asthma. However the lack of a defined and specific asthma phenotype and of suitable markers for genetic analysis is proving to be a major hurdle for reliably identifying genes associated with asthma. The identification of genes implicated in asthma would represent a major step towards the identification of new molecular targets for the development of anti-asthma drugs. Moreover there is no straightforward physiological or biological blood test for the asthmatic state. As a result, adequate asthma treatment is often delayed, thereby allowing the inflammation process to better establish itself. Thus, there is a need for the identification of asthma susceptibility genes in order to develop an efficient and reliable asthma diagnostic test.

As mentioned above, products of arachidonic acid metabolism are important inflammatory mediators and have been involved in a number of inflammatory diseases including asthma. More specifically, prostaglandins and leukotrienes are thought to play a major role in the inflammatory process observed in asthma patients.

In order to investigate and identify a genetic origin to asthma a candidate gene scan for asthma was conducted. The rational of this approach was to: 1) select candidate genes potentially involved in the pathological pathway of interest, in this case arachidonic acid metabolism, 2) to identify biallelic markers in those genes and finally 3) to measure the frequency of biallelic marker alleles in order to determine if some alleles are more frequent in asthmatic populations than in non-affected populations. Results were further validated by haplotype studies. Significant associations between biallelic marker alleles from the FLAP and 12-LO genes and asthma were demonstrated in the context of the present invention. Association studies are further described in Examples 3 and 4.

This information is extremely valuable. The knowledge of a potential genetic predisposition, even if this predisposition is not absolute, might contribute in a very significant manner to treatment efficacy of asthma patients and to the development of diagnostic tools.

E. Association of Biallelic Markers of the Invention with Hepatotoxicity to Anti-Asthma Drug Zileuton (Zyflo™)

In the context of the present invention, an association between the 12-LO gene and side effects related to treatment with the anti-asthmatic drug zileuton was discovered.

As mentioned above, bronchial asthma is a multifactorial syndrome rather than a single disease, defined as airway obstruction characterized by inflammatory changes in the airways and bronchial hyper-responsiveness. Although initially reversible with bronchiodilators, airway obstruction becomes increasingly irreversible if treated poorly. Asthma management therefore relies on early and regular use of drugs that control the disease. As a consequence, there is a strong need for efficient and safe therapeutic opportunities for patients with asthma. There are two main categories of anti-asthmatic drugs—bronchodilators and anti-inflammatory agents. There is now general agreement on the need to implement early anti-inflammatory treatment rather than relying on symptomatic treatment with bronchiodilators alone. The leukotrienes, a family of proinflammatory mediators arising via arachidonic acid metabolism, have been implicated in the inflammatory cascade that occurs in asthmatic airways. Of great relevance to the pathogenesis of asthma is the 5-lipoxygenase, which catalyzes the initial step in the biosynthesis of leukotrienes from arachidonic acid. Given the significant role of the inflammatory process in asthma, pharmacological agents, such as leukotriene antagonists and 5-lipoxygenase inhibitors have been developed.

Zileuton (Zyflo™) is an active inhibitor of 5-lipoxygenase, the enzyme that catalyzes the formation of leukotrienes from arachidonic acid, indicated for prophylaxis and chronic treatment of asthma. A minority of zileuton-treated patients develop liver function abnormalities. Close monitoring revealed that elevations of liver function tests may occur during treatment with zileuton. The ALT test (serum level of alanine aminotransferase) was used, which is considered the most sensitive indicator of liver injury.

In order to investigate and identify a genetic origin to zileuton-associated hepatotoxicity, a candidate gene scan was conducted. This approach comprised:

-   -   selecting candidate genes potentially involved in the         pathological pathway of interest or in the metabolism of         zileuton, and     -   identifying biallelic markers in those genes, and finally     -   conducting association studies to identify biallelic marker         alleles or haplotypes associated with elevations of liver         function tests upon treatment with zileuton.

An association between elevated ALT levels upon treatment with zileuton and biallelic marker alleles from the 12-LO gene was demonstrated. Further details concerning this association study are provided in Example 5.

F. Identification of Biallelic Markers in Linkage Disequilibrium with the Biallelic Markers of the Invention

Once a first biallelic marker has been identified in a genomic region of interest, the practitioner of ordinary skill in the art, using the teachings of the present invention, can easily identify additional biallelic markers in linkage disequilibrium with this first marker. As mentioned before any marker in linkage disequilibrium with a first marker associated with a trait will be associated with the trait. Therefore, once an association has been demonstrated between a given biallelic marker and a trait, the discovery of additional biallelic markers associated with this trait is of great interest in order to increase the density of biallelic markers in this particular region. The causal gene or mutation will be found in the vicinity of the marker or set of markers showing the highest correlation with the trait.

Identification of additional markers in linkage disequilibrium with a given marker involves: (a) amplifying a genomic fragment comprising a first biallelic marker from a plurality of individuals; (b) identifying of second biallelic markers in the genomic region harboring said first biallelic marker; (c) conducting a linkage disequilibrium analysis between said first biallelic marker and second biallelic markers; and (d) selecting said second biallelic markers as being in linkage disequilibrium with said first marker. Subcombinations comprising steps (b) and (c) are also contemplated.

Methods to identify biallelic markers and to conduct linkage disequilibrium analysis are described herein and can be carried out by the skilled person without undue experimentation. The present invention then also concerns biallelic markers which are in linkage disequilibrium with the specific biallelic markers shown in Table 7(A-B) and which are expected to present similar characteristics in terms of their respective association with a given trait.

G. Identification of Functional Mutations

Once a positive association is confirmed with a biallelic marker of the present invention, the associated candidate gene can be scanned for mutations by comparing the sequences of a selected number of affected individuals and control individuals. In a preferred embodiment, functional regions such as exons and splice sites, promoters and other regulatory regions of the candidate gene are scanned for mutations. Preferably, affected individuals carry the haplotype shown to be associated with the trait and trait negative or control individuals do not carry the haplotype or allele associated with the trait. The mutation detection procedure is essentially similar to that used for biallelic site identification.

-   -   The method used to detect such mutations generally comprises the         following steps: (a) amplification of a region of the candidate         gene comprising a biallelic marker or a group of biallelic         markers associated with the trait from DNA samples of affected         patients and trait negative controls;     -   (b) sequencing of the amplified region;     -   (c) comparison of DNA sequences from affected trait-positive         patients and trait-negative controls; and     -   (d) determination of mutations specific to affected         trait-positive patients. Subcombinations which comprise         steps (b) and (c) are specifically contemplated.

It is preferred that candidate polymorphisms be then verified by screening a larger population of cases and controls by means of any genotyping procedure such as those described herein, preferably using a microsequencing technique in an individual test format. Polymorphisms are considered as candidate mutations when present in cases and controls at frequencies compatible with the expected association results.

Identification of mutations and low frequency polymorphisms in the 5′ flanking region of the 12-LO gene, in the exons and introns of the 12-LO gene and in the 3′ flanking region of the 12-LO gene is further described in Example 5. Forty-nine low frequency polymorphisms and mutations were identified in the region of the 12-LO gene that was scanned. Low frequency polymorphisms and mutations identified in exons 5, 6, 8, and 13 are associated with amino acid substitutions at the polypeptide level. In each of these amino acid substitutions the original residue is replaced by a non-equivalent amino acid presenting different chemical properties. As a consequence, specificity, activity and function of the 12-LO enzyme are modified. Biallelic marker 10-343-231 is associated with a frame shift in the open reading frame of the 12-LO gene leading to the expression of a variant 12-LO polypeptide comprising only 131 amino acids. This mutant 12-LO enzyme is probably inactive or shows differences in specificity, activity and function. Biallelic marker 10-343-231 is associated with the deletion of a Leu residue in the 12-LO polypeptide.

Candidate polymorphisms and mutations of the 12-LO gene suspected of being responsible for the detectable phenotype, such as hepatoxicity to zileuton or asthma, can be confirmed by screening a larger population of affected and unaffected individuals using any of the genotyping procedures described herein. Preferably the microsequencing technique is used. Such polymorphisms are considered as candidate “trait-causing” mutations when they exhibit a statistically significant correlation with the detectable phenotype.

V. Biallelic Markers of the Invention in Methods of Genetic Diagnostics

The biallelic markers of the present invention can also be used to develop diagnostics tests capable of identifying individuals who express a detectable trait as the result of a specific genotype or individuals whose genotype places them at risk of developing a detectable trait at a subsequent time. The trait analyzed using the present diagnostics may be any detectable trait, including a disease involving arachidonic acid metabolism, a response to an agent acting on arachidonic acid metabolism or side effects to an agent acting on arachidonic acid metabolism.

The diagnostic techniques of the present invention may employ a variety of methodologies to determine whether a test subject has a biallelic marker pattern associated with an increased risk of developing a detectable trait or whether the individual suffers from a detectable trait as a result of a particular mutation, including methods which enable the analysis of individual chromosomes for haplotyping, such as family studies, single sperm DNA analysis or somatic hybrids.

The present invention provides diagnostic methods to determine whether an individual is at risk of developing a disease or suffers from a disease resulting from a mutation or a polymorphism in a candidate gene of the present invention. The present invention also provides methods to determine whether an individual is likely to respond positively to an agent acting on arachidonic acid metabolism or whether an individual is at risk of developing an adverse side effect to an agent acting on arachidonic acid metabolism.

These methods involve obtaining a nucleic acid sample from the individual and, determining, whether the nucleic acid sample contains at least one allele or at least one biallelic marker haplotype, indicative of a risk of developing the trait or indicative that the individual expresses the trait as a result of possessing a particular candidate gene polymorphism or mutation (trait-causing allele).

Preferably, in such diagnostic methods, a nucleic acid sample is obtained from the individual and this sample is genotyped using methods described above in Im. Methods of Genotyping an Individual for Biallelic Markers. The diagnostics may be based on a single biallelic marker or a on group of biallelic markers.

In each of these methods, a nucleic acid sample is obtained from the test subject and the biallelic marker pattern of one or more of the biallelic markers listed in Table 7(A-B) is determined.

In one embodiment, a PCR amplification is conducted on the nucleic acid sample to amplify regions in which polymorphisms associated with a detectable phenotype have been identified. The amplification products are sequenced to determine whether the individual possesses one or more polymorphisms associated with a detectable phenotype. The primers used to generate amplification products may comprise the primers listed in Table 13, or a preferred set of primers includes those described in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652. Alternatively, the nucleic acid sample is subjected to microsequencing reactions as described above to determine whether the individual possesses one or more polymorphisms associated with a detectable phenotype resulting from a mutation or a polymorphism in a candidate gene. The primers used in the microsequencing reactions may include the primers listed in Table 12, or a preferred set of primers includes those described in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652. In another embodiment, the nucleic acid sample is contacted with one or more allele specific oligonucleotide probes which, specifically hybridize to one or more candidate gene alleles associated with a detectable phenotype. The probes used in the hybridization assay may include the probes listed in Table 14, or a preferred set of probes includes those described in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652.

The present invention provides methods of determining whether an individual is at risk of developing asthma, or whether said individual suffers from asthma, comprising: a) genotyping said individual for at least one 12-LO-related biallelic marker; and b) correlating the result of step a) with a risk of developing asthma. In a preferred embodiment, said 12-LO-related biallelic marker is selected from the group consisting of biallelic markers: 12-197-244, 12-208-35, 12-226-167, 12-206-366, 10-346-141, 10-347-111, 10-347-165, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 10-341-116, 12-196-119, 12-214-129, 12-216-421, 12-219-230, and 12-223-207. Preferably, said 12-LO-related biallelic marker is selected from the biallelic markers described in Example 5. The present invention also provides methods of determining whether an individual is at risk of developing hepatoxicity upon treatment with zileuton, comprising: a) genotyping said individual for at least one 12-LO-related biallelic marker; and b) correlating the result of step a) with a risk of developing hepatotoxicity upon treatment with zileuton. In a preferred embodiment, said 12-LO-related biallelic marker is selected from the group consisting of biallelic markers: 12-197-244, 12-208-35, 12-226-167, 12-206-366, 10-346-141, 10-347-111, 10-347-165, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 10-341-116, 12-196-119, 12-214-129, 12-216-421, 12-219-230, and 12-223-207. Preferably, said 12-LO-related biallelic marker is selected from the biallelic markers described in Example 5, Association between Side Effects upon Treatment with the Anti-Asthmatic Drug Zileuton (Zyflo™) and the Biallelic Markers of the 12-lipoxygenase Gene.

These diagnostic methods are extremely valuable as they can, in certain circumstances, be used to initiate preventive treatments or to allow an individual carrying a significant haplotype to foresee warning signs such as minor symptoms. In diseases in which attacks may be extremely violent and sometimes fatal if not treated on time, such as asthma, the knowledge of a potential predisposition, even if this predisposition is not absolute, might contribute in a very significant manner to treatment efficacy. Similarly, a diagnosed predisposition to a potential side effect could immediately direct the physician toward a treatment for which such side effects have not been observed during clinical trials.

Diagnostics, which analyze and predict response to a drug or side effects to a drug, may be used to determine whether an individual should be treated with a particular drug. For example, if the diagnostic indicates a likelihood that an individual will respond positively to treatment with a particular drug, the drug may be administered to the individual. Conversely, if the diagnostic indicates that an individual is likely to respond negatively to treatment with a particular drug, an alternative course of treatment may be prescribed. A negative response may be defined as either the absence of an efficacious response or the presence of toxic side effects.

Clinical drug trials represent another application for the markers of the present invention. One or more markers indicative of response to an agent acting on arachidonic acid metabolism or to side effects to an agent acting on arachidonic acid metabolism may be identified using the methods described above. Thereafter, potential participants in clinical trials of such an agent may be screened to identify those individuals most likely to respond favorably to the drug and exclude those likely to experience side effects. In that way, the effectiveness of drug treatment may be measured in individuals who respond positively to the drug, without lowering the measurement as a result of the inclusion of individuals who are unlikely to respond positively in the study and without risking undesirable safety problems.

VI. Computer-Related Embodiments

As used herein the term “nucleic acid codes of the invention” encompass the nucleotide sequences comprising, consisting essentially of, or consisting of any one of the following: a) a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500 or 1000 nucleotides, to the extent that a polynucleotide of these lengths is consistent with the lengths of the particular Sequence ID, of a sequence selected from the group consisting of the sequences described in Table 8, and the complements thereof, excluding Sequence ID Nos. 1-10, 19, 23-25, and 647-650; b) a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500 or 1000 nucleotides, to the extent that a polynucleotide of these lengths is consistent with the lengths of the particular Sequence ID, of a sequence selected from the group consisting of the sequences described in Table 9, and the complements thereof, excluding Sequence ID Nos. 11-18 and 20-21; c) a contiguous span of at least 12, 15, 18, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, or 500 nucleotides, to the extent that a polynucleotide of these lengths is consistent with the lengths of the particular Sequence ID, of a sequence selected from the group consisting of the sequences described in Table 12, more preferably a set of markers or sequences consisting of those markers or sequences found in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652, and the complements thereof, wherein said span includes an eicosanoid-related biallelic marker, preferably an eicosanoid-related biallelic marker described in Table 7(A-B), preferably the biallelic markers found in SEQ ID Nos. 26-70, 72-418, 425-489, 491-530, 532-539, 541-646, and 651-652, or more preferably from SEQ ID Nos. 651-652, 680-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1300, in said sequence with the alternative allele present at said biallelic marker.

The “nucleic acid codes of the invention” further encompass nucleotide sequences homologous to a contiguous span of at least 30, 35, 40, 50, 60, 70, 80, 90, 100, 150, 200, 500 or 1000 nucleotides, to the extent that a contiguous span of these lengths is consistent with the lengths of the particular Sequence ID, of a sequence selected from the group consisting of the sequences described in Tables 8, 9, and 12, and the complements thereof. Homologous sequences refer to a sequence having at least 99%, 98%, 97%, 96%, 95%, 90%, 85%, 80%, or 75% homology to these contiguous spans. Homology may be determined using any method described herein, including BLAST2N with the default parameters or with any modified parameters. Homologous sequences also may include RNA sequences in which uridines replace the thymines in the nucleic acid codes of the invention. It will be appreciated that the nucleic acid codes of the invention can be represented in the traditional single character format (See the inside back cover of Stryer, Lubert. Biochemistry, 3rd edition. W. H Freeman & Co., New York.) or in any other format or code which records the identity of the nucleotides in a sequence.

It will be appreciated by those skilled in the art that the nucleic acid codes of the invention, one or more of the polypeptide codes of SEQ ID Nos. 653 and 654 can be stored, recorded, and manipulated on any medium which can be read and accessed by a computer. As used herein, the words “recorded” and “stored” refer to a process for storing information on a computer medium. A skilled artisan can readily adopt any of the presently known methods for recording information on a computer readable medium to generate manufactures comprising one or more of the nucleic acid codes of the invention and one or more of the polypeptide codes of SEQ ID Nos. 653-654. Another aspect of the present invention is a computer readable medium having recorded thereon at least 2, 5, 10, 15, 20, 25, 30, or 50 nucleic acid codes of the invention, and the complements thereof. Another aspect of the present invention is a computer readable medium having recorded thereon at least 2, 5, 10, 15, 20, 25, 30, or 50 polypeptide codes of SEQ ID Nos. 653-654.

Computer readable media include magnetically readable media, optically readable media, electronically readable media and magnetic/optical media. For example, the computer readable media may be a hard disk, a floppy disk, a magnetic tape, CD-ROM, Digital Versatile Disk (DVD), Random Access Memory (RAM), or Read Only Memory (ROM) as well as other types of other media known to those skilled in the art.

Embodiments of the present invention include systems, particularly computer systems which store and manipulate the sequence information described herein. As used herein, “a computer system” refers to the hardware components, software components, and data storage components used to analyze the nucleotide sequences of the nucleic acid codes of the invention, or the amino acid sequences of the polypeptide codes of SEQ ID Nos. 653-654. In one embodiment, the computer system is a Sun Enterprise 1000 server (Sun Microsystems, Palo Alto, Calif.). The computer system preferably includes a processor for processing, accessing and manipulating the sequence data. The processor can be any well-known type of central processing unit, such as the Pentium 1 ml from Intel Corporation, or similar processor from Sun, Motorola, Compaq or International Business Machines. Preferably, the computer system is a general purpose system that comprises the processor and one or more internal data storage components for storing data, and one or more data retrieving devices for retrieving the data stored on the data storage components. A skilled artisan can readily appreciate that any one of the currently available computer systems are suitable. In one particular embodiment, the computer system includes a processor connected to a bus which is connected to a main memory (preferably implemented as RAM) and one or more internal data storage devices, such as a hard drive and/or other computer readable media having data recorded thereon. In some embodiments, the computer system further includes one or more data retrieving device for reading the data stored on the internal data storage devices. The data retrieving device may represent, for example, a floppy disk drive, a compact disk drive, a magnetic tape drive, etc. In some embodiments, the internal data storage device is a removable computer readable medium such as a floppy disk, a compact disk, a magnetic tape, etc. containing control logic and/or data recorded thereon. The computer system may advantageously include or be programmed by appropriate software for reading the control logic and/or the data from the data storage component once inserted in the data retrieving device. The computer system includes a display which is used to display output to a computer user. It should also be noted that the computer system can be linked to other computer systems in a network or wide area network to provide centralized access to the computer system. Software for accessing and processing the nucleotide sequences of the nucleic acid codes of the invention, or the amino acid sequences of the polypeptide codes of SEQ ID Nos. 653-654 (such as search tools, compare tools, and modeling tools etc.) may reside in main memory during execution. In some embodiments, the computer system may further comprise a sequence comparer for comparing the above-described nucleic acid codes of the invention or polypeptide codes of SEQ ID Nos. 653-654 stored on a computer readable medium to reference nucleotide or polypeptide sequences stored on a computer readable medium. A “sequence comparer” refers to one or more programs which are implemented on the computer system to compare a nucleotide or polypeptide sequence with other nucleotide or polypeptide sequences and/or compounds including but not limited to peptides, peptidomimetics, and chemicals stored within the data storage means. For example, the sequence comparer may compare the nucleotide sequences of the nucleic acid codes of the invention, or the amino acid sequences of the polypeptide codes of SEQ ID Nos. 653-654 stored on a computer readable medium to reference sequences stored on a computer readable medium to identify homologies, motifs implicated in biological function, or structural motifs. The various sequence comparer programs identified elsewhere in this patent specification are particularly contemplated for use in this aspect of the invention.

One embodiment is a process for comparing a new nucleotide or protein sequence with a database of sequences in order to determine the homology levels between the new sequence and the sequences in the database. The database of sequences can be a private database stored within the computer system, or a public database such as GENBANK, PIR OR SWISSPROT that is available through the Internet.

The process begins at a start state and then moves to a state wherein the new sequence to be compared is stored to a memory in a computer system. As discussed above, the memory could be any type of memory, including RAM or an internal storage device. The process then moves to a state wherein a database of sequences is opened for analysis and comparison. The process then moves to a state wherein the first sequence stored in the database is read into a memory on the computer. A comparison is then performed at a state to determine if the first sequence is the same as the second sequence. It is important to note that this step is not limited to performing an exact comparison between the new sequence and the first sequence in the database. Well-known methods are known to those of skill in the art for comparing two nucleotide or protein sequences, even if they are not identical. For example, gaps can be introduced into one sequence in order to raise the homology level between the two tested sequences. The parameters that control whether gaps or other features are introduced into a sequence during comparison are normally entered by the user of the computer system. Once a comparison of the two sequences has been performed at the state, a determination is made at a decision state whether the two sequences are the same. Of course, the term “same” is not limited to sequences that are absolutely identical. Sequences that are within the homology parameters entered by the user will be marked as “same” in the process. If a determination is made that the two sequences are the same, the process moves to a state wherein the name of the sequence from the database is displayed to the user. This state notifies the user that the sequence with the displayed name fulfills the homology constraints that were entered. Once the name of the stored sequence is displayed to the user, the process moves to a decision state wherein a determination is made whether more sequences exist in the database. If no more sequences exist in the database, then the process terminates at an end state. However, if more sequences do exist in the database, then the process moves to a state wherein a pointer is moved to the next sequence in the database so that it can be compared to the new sequence. In this manner, the new sequence is aligned and compared with every sequence in the database. It should be noted that if a determination had been made at the decision state that the sequences were not homologous, then the process would move immediately to the decision state in order to determine if any other sequences were available in the database for comparison. Accordingly, one aspect of the present invention is a computer system comprising a processor, a data storage device having stored thereon a nucleic acid code of the invention or a polypeptide code of SEQ ID Nos. 653-654, a data storage device having retrievably stored thereon reference nucleotide sequences or polypeptide sequences to be compared to the nucleic acid code of the invention or polypeptide code of SEQ ID Nos. 653-654 and a sequence comparer for conducting the comparison. The sequence comparer may indicate a homology level between the sequences compared or identify structural motifs in the above described nucleic acid code of the invention and polypeptide codes of SEQ ID Nos. 653-654 or it may identify structural motifs in sequences which are compared to these nucleic acid codes and polypeptide codes. In some embodiments, the data storage device may have stored thereon the sequences of at least 2, 5, 10, 15, 20, 25, 30, or 50 of the nucleic acid codes of the invention or polypeptide codes of SEQ ID Nos. 653-654.

Another aspect of the present invention is a method for determining the level of homology between a nucleic acid code of the invention and a reference nucleotide sequence, comprising the steps of reading the nucleic acid code and the reference nucleotide sequence through the use of a computer program which determines homology levels and determining homology between the nucleic acid code and the reference nucleotide sequence with the computer program. The computer program may be any of a number of computer programs for determining homology levels, including those specifically enumerated herein, including BLAST2N with the default parameters or with any modified parameters. The method may be implemented using the computer systems described above. The method may also be performed by reading 2, 5, 10, 15, 20, 25, 30, or 50 of the above described nucleic acid codes of the invention through use of the computer program and determining homology between the nucleic acid codes and reference nucleotide sequences.

One embodiment is a process in a computer for determining whether two sequences are homologous. The process begins at a start state and then moves to a state wherein a first sequence to be compared is stored to a memory. The second sequence to be compared is then stored to a memory at a state. The process then moves to a state wherein the first character in the first sequence is read and then to a state wherein the first character of the second sequence is read. It should be understood that if the sequence is a nucleotide sequence, then the character would normally be either A, T, C, G or U. If the sequence is a protein sequence, then it should be in the single letter amino acid code so that the first and sequence sequences can be easily compared.

A determination is then made at a decision state whether the two characters are the same. If they are the same, then the process moves to a state wherein the next characters in the first and second sequences are read. A determination is then made whether the next characters are the same. If they are, then the process continues this loop until two characters are not the same. If a determination is made that the next two characters are not the same, the process moves to a decision state to determine whether there are any more characters either sequence to read. If there aren't any more characters to read, then the process moves to a state wherein the level of homology between the first and second sequences is displayed to the user. The level of homology is determined by calculating the proportion of characters between the sequences that were the same out of the total number of sequences in the first sequence. Thus, if every character in a first 100 nucleotide sequence aligned with a every character in a second sequence, the homology level would be 100%. Alternatively, the computer program may be a computer program which compares the nucleotide sequences of the nucleic acid codes of the present invention, to reference nucleotide sequences in order to determine whether the nucleic acid code of the invention differs from a reference nucleic acid sequence at one or more positions. Optionally such a program records the length and identity of inserted, deleted or substituted nucleotides with respect to the sequence of either the reference polynucleotide or the nucleic acid code of the invention. In one embodiment, the computer program may be a program which determines whether the nucleotide sequences of the nucleic acid codes of the invention contain a biallelic marker or single nucleotide polymorphism (SNP) with respect to a reference nucleotide sequence. This single nucleotide polymorphism may comprise a single base substitution, insertion, or deletion, while this biallelic marker may comprise about one to ten consecutive bases substituted, inserted or deleted.

Another aspect of the present invention is a method for determining the level of homology between a polypeptide code of SEQ ID Nos. 653-654 and a reference polypeptide sequence, comprising the steps of reading the polypeptide code of SEQ ID Nos. 653-654 and the reference polypeptide sequence through use of a computer program which determines homology levels and determining homology between the polypeptide code and the reference polypeptide sequence using the computer program.

Accordingly, another aspect of the present invention is a method for determining whether a nucleic acid code of the invention differs at one or more nucleotides from a reference nucleotide sequence comprising the steps of reading the nucleic acid code and the reference nucleotide sequence through use of a computer program which identifies differences between nucleic acid sequences and identifying differences between the nucleic acid code and the reference nucleotide sequence with the computer program. In some embodiments, the computer program is a program which identifies single nucleotide polymorphisms. The method may be implemented by the computer systems described above. The method may also be performed by reading at least 2, 5, 10, 15, 20, 25, 30, or 50 of the nucleic acid codes of the invention and the reference nucleotide sequences through the use of the computer program and identifying differences between the nucleic acid codes and the reference nucleotide sequences with the computer program. In other embodiments the computer based system may further comprise an identifier for identifying features within the nucleotide sequences of the nucleic acid codes of the invention or the amino acid sequences of the polypeptide codes of SEQ ID Nos. 653-654. An “identifier” refers to one or more programs which identifies certain features within the above-described nucleotide sequences of the nucleic acid codes of the invention or the amino acid sequences of the polypeptide codes of SEQ ID Nos. 653-654. In one embodiment, the identifier may comprise a program which identifies an open reading frame in the cDNAs codes of SEQ ID No. 652.

One embodiment is an identifier process for detecting the presence of a feature in a sequence. The process begins at a start state and then moves to a state wherein a first sequence that is to be checked for features is stored to a memory in the computer system. The process then moves to a state wherein a database of sequence features is opened. Such a database would include a list of each feature's attributes along with the name of the feature. For example, a feature name could be “Initiation Codon” and the attribute would be “ATG.” Another example would be the feature name “TAATAA Box” and the feature attribute would be “TAATAA”. An example of such a database is produced by the University of Wisconsin Genetics Computer Group (www.gcg.com). Once the database of features is opened at the state, the process moves to a state wherein the first feature is read from the database. A comparison of the attribute of the first feature with the first sequence is then made at a state. A determination is then made at a decision state whether the attribute of the feature was found in the first sequence. If the attribute was found, then the process moves to a state 318 wherein the name of the found feature is displayed to the user. The process then moves to a decision state wherein a determination is made whether move features exist in the database. If no more features do exist, then the process terminates at an end state. However, if more features do exist in the database, then the process reads the next sequence feature at a state and loops back to the state wherein the attribute of the next feature is compared against the first sequence. It should be noted, that if the feature attribute is not found in the first sequence at the decision state, the process moves directly to the decision state in order to determine if any more features exist in the database. In another embodiment, the identifier may comprise a molecular modeling program which determines the 3-dimensional structure of the polypeptides codes of SEQ ID Nos. 653-654. In some embodiments, the molecular modeling program identifies target sequences that are most compatible with profiles representing the structural environments of the residues in known three-dimensional protein structures. (See, e.g., Eisenberg et al., U.S. Pat. No. 5,436,850 issued Jul. 25, 1995, the disclosure of which is incorporated herein by reference in its entirety). In another technique, the known three-dimensional structures of proteins in a given family are superimposed to define the structurally conserved regions in that family. This protein modeling technique also uses the known three-dimensional structure of a homologous protein to approximate the structure of the polypeptide codes of SEQ ID Nos. 653-654. (See e.g., Srinivasan, et al., U.S. Pat. No. 5,557,535 issued Sep. 17, 1996, the disclosure of which is incorporated herein by reference in its entirety). Conventional homology modeling techniques have been used routinely to build models of proteases and antibodies. (Sowdhamini et al., Protein Engineering 10:207, 215 (1997), the disclosure of which is incorporated herein by reference in its entirety). Comparative approaches can also be used to develop three-dimensional protein models when the protein of interest has poor sequence identity to template proteins. In some cases, proteins fold into similar three-dimensional structures despite having very weak sequence identities. For example, the three-dimensional structures of a number of helical cytokines fold in similar three-dimensional topology in spite of weak sequence homology. The recent development of threading methods now enables the identification of likely folding patterns in a number of situations where the structural relatedness between target and template(s) is not detectable at the sequence level. Hybrid methods, in which fold recognition is performed using Multiple Sequence Threading (MST), structural equivalencies are deduced from the threading output using a distance geometry program DRAGON to construct a low resolution model, and a full-atom representation is constructed using a molecular modeling package such as QUANTA.

According to this 3-step approach, candidate templates are first identified by using the novel fold recognition algorithm MST, which is capable of performing simultaneous threading of multiple aligned sequences onto one or more 3-D structures. In a second step, the structural equivalencies obtained from the MST output are converted into interresidue distance restraints and fed into the distance geometry program DRAGON, together with auxiliary information obtained from secondary structure predictions. The program combines the restraints in an unbiased manner and rapidly generates a large number of low resolution model confirmations. In a third step, these low resolution model confirmations are converted into full-atom models and subjected to energy minimization using the molecular modeling package QUANTA. (See e.g., Aszódi et al., Proteins: Structure, Function, and Genetics, Supplement 1:38-42 (1997), the disclosure of which is incorporated herein by reference in its entirety).

The results of the molecular modeling analysis may then be used in rational drug design techniques to identify agents which modulate the activity of the polypeptide codes of SEQ ID Nos. 653-654. Accordingly, another aspect of the present invention is a method of identifying a feature within the nucleic acid codes of the invention or the polypeptide codes of SEQ ID Nos. 653-654 comprising reading the nucleic acid code(s) or the polypeptide code(s) through the use of a computer program which identifies features therein and identifying features within the nucleic acid code(s) or polypeptide code(s) with the computer program. In one embodiment, computer program comprises a computer program which identifies open reading frames. In a further embodiment, the computer program identifies structural motifs in a polypeptide sequence. In another embodiment, the computer program comprises a molecular modeling program. The method may be performed by reading a single sequence or at least 2, 5, 10, 15, 20, 25, 30, or 50 of the nucleic acid codes of the invention or the polypeptide codes of SEQ ID Nos. 653-654 through the use of the computer program and identifying features within the nucleic acid codes or polypeptide codes with the computer program. The nucleic acid codes of the invention or the polypeptide codes of SEQ ID Nos. 653-654 may be stored and manipulated in a variety of data processor programs in a variety of formats. For example, the nucleic acid codes of the invention or the polypeptide codes of SEQ ID Nos. 653-654 may be stored as text in a word processing file, such as MicrosoftWORD or WORDPERFECT or as an ASCII file in a variety of database programs familiar to those of skill in the art, such as DB2, SYBASE, or ORACLE. In addition, many computer programs and databases may be used as sequence comparers, identifiers, or sources of reference nucleotide or polypeptide sequences to be compared to the nucleic acid codes of the invention or the polypeptide codes of SEQ ID Nos. 653-654. The following list is intended not to limit the invention but to provide guidance to programs and databases which are useful with the nucleic acid codes of the invention or the polypeptide codes of SEQ ID No. 653-654. The programs and databases which may be used include, but are not limited to: MacPattern (EMBL), DiscoveryBase (Molecular Applications Group), GeneMine (Molecular Applications Group), Look (Molecular Applications Group), MacLook (Molecular Applications Group), BLAST and BLAST2 (NCBI), BLASTN and BLASTX (Altschul et al, J. Mol. Biol. 215: 403 (1990), the disclosure of which is incorporated herein by reference in its entirety), FASTA (Pearson and Lipman, Proc. Natl. Acad. Sci. USA, 85: 2444 (1988), the disclosure of which is incorporated herein by reference in its entirety), FASTDB (Brutlag et al. Comp. App. Biosci. 6:237-245, 1990, the disclosure of which is incorporated herein by reference in its entirety), Catalyst (Molecular Simulations Inc.), Catalyst/SHAPE (Molecular Simulations Inc.), Cerius².DBAccess (Molecular Simulations Inc.), HypoGen (Molecular Simulations Inc.), Insight II, (Molecular Simulations Inc.), Discover (Molecular Simulations Inc.), CHARMm (Molecular Simulations Inc.), Felix (Molecular Simulations Inc.), DelPhi, (Molecular Simulations Inc.), QuanteMM, (Molecular Simulations Inc.), Homology (Molecular Simulations Inc.), Modeler (Molecular Simulations Inc.), ISIS (Molecular Simulations Inc.), Quanta/Protein Design (Molecular Simulations Inc.), WebLab (Molecular Simulations Inc.), WebLab Diversity Explorer (Molecular Simulations Inc.), Gene Explorer (Molecular Simulations Inc.), SeqFold (Molecular Simulations Inc.), the EMBL/Swissprotein database, the MDL Available Chemicals Directory database, the MDL Drug Data Report data base, the Comprehensive Medicinal Chemistry database, Derwents's World Drug Index database, the BioByteMasterFile database, the Genbank database, and the Genseqn database. Many other programs and data bases would be apparent to one of skill in the art given the present disclosure. Motifs which may be detected using the above programs include sequences encoding leucine zippers, helix-turn-helix motifs, glycosylation sites, ubiquitination sites, alpha helices, and beta sheets, signal sequences encoding signal peptides which direct the secretion of the encoded proteins, sequences implicated in transcription regulation such as homeoboxes, acidic stretches, enzymatic active sites, substrate binding sites, and enzymatic cleavage sites.

It should be noted that the nucleic acid codes of the invention further encompass all of the polynucleotides disclosed, described or claimed in the present invention. Also, it should be noted that the polypeptide codes of SEQ ID Nos. 653-654 further encompass all of the polypeptides disclosed, described or claimed in the present invention. Moreover, the present invention specifically contemplates the storage of such codes on computer readable media and computer systems individually or in combination, as well as the use of such codes and combinations in the methods of section “VI. Computer-Related Embodiments.”

Throughout this application, various publications, patents, and published patent applications are cited. The disclosures of the publications, patents, and published patent specifications referenced in this application are hereby incorporated by reference into the present disclosure to more fully describe the state of the art to which this invention pertains.

VII. DNA Typing Methods and Systems

The present invention also encompasses a DNA typing system having a much higher discriminatory power than currently available typing systems. The systems and associated methods are particularly applicable in the identification of individuals for forensic science and paternity determinations. These applications have become increasingly important; in forensic science, for example, the identification of individuals by polymorphism analysis has become widely accepted by courts as evidence.

While forensic geneticists have developed many techniques to compare homologous segments of DNA to determine if the segments are identical or if they differ in one or more nucleotides, each technique still has certain disadvantages. In particular, the techniques vary widely in terms of expense of analysis, time required to carry out an analysis and statistical power.

RFLP Analysis Methods

The best known and most widespread method in forensic DNA typing is the restriction fragment length polymorphism (RFLP) analysis. In RFLP testing, a repetitive DNA sequence referred to as a variable number tandem repeat (VNTR) which varies between individuals is analyzed. The core repeat is typically a sequence of about 15 base pairs in length, and highly polymorphic VNTR loci can have an average of about 20 alleles. DNA restriction sites located on either site of the VNTR are exploited to create DNA fragments from about 0.5 Kb to less than 10 Kb which are then separated by electrophoresis, indicating the number of repeats found in the individual at the particular loci. RFLP methods generally consist of (1) extraction and isolation of DNA, (2) restriction endonuclease digestion; (3) separation of DNA fragments by electrophoresis; (4) capillary transfer; (5) hybridization with radiolabelled probes; (6) autoradiography; and (7) interpretation of results (Lee, H. C. et al., Am. J. Forensic. Med. Pathol. 15(4): 269-282 (1994)). RFLP methods generally combine analysis at about 5 loci and have much higher discriminate potential than other available test due the highly polymorphic nature of the VNTRs. However, autoradiography is costly and time consuming and an analysis generally takes weeks or months for turnaround. Additionally, a large amount of sample DNA is required, which is often not available at a crime scene. Furthermore, the reliability of the system and its credibility as evidence is decreased because the analysis of tightly spaced bands on electrophoresis results in a high rate of error.

PCR Methods

PCR based methods offer an alternative to RFLP methods. In a first method called AmpFLP, DNA fragments containing VNTRs are amplified and then separated electrophoretically, without the restriction step of RFLP method. While this method allows small quantities of sample DNA to be used, decreases analysis time by avoiding autoradiography, and retains high discriminatory potential, it nevertheless requires electrophoretic separation which takes substantial time and introduces an significant error rate. In another AmpFLP method, short tandem repeats (STRs) of 2 to 8 base pairs are analyzed. STRs are more suitable to analysis of degraded DNA samples since they require smaller amplified fragments but have the disadvantage of requiring separation of the amplified fragments. While STRs are far less informative than longer repeats, similar discriminatory potential can be achieved if enough STRs are used in a single analysis.

Other methods include sequencing of mitochondrial DNA, which is especially suitable for situations where sample DNA is very degraded or in small quantities. However, only a small region of 1 Kb of the mitochondrial DNA referred to as the D-Loop locus has been found useful for typing because of its polymorphic nature, resulting in lower discriminatory potential than with RFLP or AmpFLP methods. Furthermore, DNA sequencing is expensive to carry out on a large number of samples.

Further available methods include dot-blot methods, which involve using allele specific oligonucleotide probes which hybridize sequence specifically to one allele of a polymorphic site. Systems include the HLA DQ-alpha kit developed by Cetus Corp. which has a discriminatory value of about 1 in 20, and a dot-blot strip referred to as the Polymarker strip combining five genetic loci for a discriminatory value of about one in a few thousand. (Weedn, V., Clinics in Lab. Med. 16(1): 187-196 (1996)).

In addition to difficulties in analysis and time consuming laboratory procedures, it remains desirable for all DNA typing systems to have a higher discriminatory power. Several applications exist in which even the most discriminating tests need improvement in order to remove the considerable remaining doubt resulting from such analyses. Table 3 below lists characteristics of currently available forensic testing systems (Weedn, (1996)) and compares them with the method of the invention. TABLE 3 Sensitivity Turnaround Discriminatory (amount Test type Technology time potential DNA) Sample RFLP VNTR Weeks or 10⁶ to 10⁹ 10 ng Highly intact (autoradiography) months DNA AmpFLP VNTR Days 10³ to 10⁶ 100 pg Moderate (PCR based) degradation Dot blot (ex. Sequence specific Days 10¹ to 10³ 1 ng Moderate HLADQA1) oligonucleotide degradation probes Mitochondrial D-loop sequence Days 10² 1 pg Severe DNA (PCR based) degradation Present marker Biallelic Markers Hours to 10⁶, 10⁴⁷, 10⁶⁵⁰ 100 pg Moderate set of the (set of 13, set of Days degradation invention 100, set of 500, set (throughput of 650) dependent) Applications

As described above, an important application of DNA typing tests is to determine whether a DNA sample (e.g. from a crime scene) originated from an individual suspected of leaving said DNA sample.

There are several applications for DNA typing which require a particularly powerful genotyping system. In a first application, a high powered typing system is advantageous when for example a suspect is identified by searching a DNA profile database such as that maintained by the U.S. Federal Bureau of Investigation. Since databases may contain large numbers of data entries that are expected to increase consistently, currently used forensic systems can be expected to identify several matching DNA profiles due to their relative lack of power. While database searches generally reinforce the evidence by excluding other possible suspects, low powered typing systems resulting in the identification of several individuals may often tend to diminish the overall case against a defendant.

In another application, a target population is systematically tested to identify an individual having the same DNA profile as that of a DNA sample. In such a situation, a defendant is chosen at random based on DNA profile from a large population of innocent individuals. Since the population tested can often be large enough that at least one positive match is identified, and it is usually not possible to exhaustively test a population, the usefulness of the evidence will depend on the level of significance of the forensic test. In order to render such an application useful as a sole or primary source of evidence, DNA typing systems of extremely high discriminatory potential are required.

In yet another application, it is desirable to be able to discriminate between related individuals. Because related individuals will be expected to share a large portion of alleles at polymorphic sites, a very high powered DNA typing assay would be required to discriminate between them. This can have important effects if a sample is found to match the defendant's DNA profile and no evidence that the perpetrator is a relative can be found.

Accordingly, there a need in this art for a rapid, simple, inexpensive and accurate technique having a very high resolution value to determine relationships between individuals and differences in degree of relationships. Also, there is a need in the art for a very accurate genetic relationship test procedure which uses very small amounts of an original DNA sample, yet produces very accurate results.

The present invention thus involves methods for the identification of individuals comprising determining the identity of the nucleotides at set of genetic markers in a biological sample, wherein said set of genetic markers comprises at least one eicosanoid-related biallelic marker. The present invention provides an extensive set of biallelic markers allowing a higher discriminatory potential than the genetic markers used in current forensic typing systems. Also, biallelic markers can be genotyped in individuals with much higher efficiency and accuracy than the genetic markers used in current forensic typing systems. In preferred embodiments, the invention comprises determining the identity of a nucleotide at an eicosanoid-related biallelic marker by single nucleotide primer extension, which does not require electrophoresis as in techniques described above and results in lower rate of experimental error. As shown in Table 3, herein, in comparison with PCR based VNTR based methods which allow discriminatory potential of thousands to millions, and RFLP based methods which allow discriminatory potential of merely millions to billions under optimal assumptions, the biallelic marker based method of the present invention provides a radical increase in discriminatory potential.

Any suitable set of genetic markers and biallelic markers of the invention may be used, and may be selected according to the discriminatory power desired. Biallelic markers, sets of biallelic markers, probes, primers, and methods for determining the identity of said biallelic markers are further described herein.

Discriminatory Potential of Biallelic Marker Typing

Calculating Discriminatory Potential

The discriminatory potential of the forensic test can be determined in terms of the profile frequency, also referred to as the random match probability, by applying the product rule. The product rule involves multiplying the allelic frequencies of all the individual alleles tested, and multiplying by an additional factor of 2 for each heterozygous locus.

In one example discussed below, the discriminatory potential of biallelic marker typing can be considered in the context of forensic science. In order to determine the discriminatory potential with respect to the numbers of biallelic markers to be used in a genetic typing system, the formulas and calculations below assume that (1) the population under study is sufficiently large (so that we can assume no consanguinity); (2) all markers chosen are not correlated, so that the product rule (Lander and Budlowle (1992)) can be applied; and (3) the ceiling rule can be applied or that the allelic frequencies of markers in the population under study are known with sufficient accuracy.

As noted in Weir, B. S., Genetic data Analysis II: Methods for Discrete population genetic Data, Sinauer Assoc., Inc., Sunderland, Mass., USA, 1996, the example assumes a crime has been committed and a sample of DNA from the perpetrator (P) is available for analysis. The genotype of this DNA sample can be determined for several genetic markers, and the profile A of the perpetrator can thereby be determined.

In this example, one suspect (S) is available for typing. The same set of genetic markers, such as the biallelic markers of the invention, are typed and the same profile A is obtained for (S) and (P). Two hypotheses are thus presented as follows:

-   -   (1) either S is P (event C)     -   (2) either S is not P (event ).

The ratio L of both probabilities can then be calculated using the following equation: $L = \frac{{pr}\left( {{S = A},{P = {A/C}}} \right)}{{pr}\left( {{S = A},{P = {A/\overset{\_}{C}}}} \right)}$

L can then further be calculated by the following equation: $\begin{matrix} {L = {\frac{1}{{pr}\left( {{P = {{A/S} = A}},\overset{\_}{C}} \right)}(1)}} & {{Equation}\quad 1} \end{matrix}$

These probabilities as well as L can be calculated in several settings, notably for different kinship coefficients between P and S for a genetic marker (see Weir, (1996)).

Assuming that all genetic markers chosen are independent of each other, the global ratio L for a set of genetic markers will be the product over each genetic marker of all L.

It is further possible to estimate the mean number of biallelic markers or VNTRs required to have a ratio L equal to 10⁸ or 10⁶ by calculating the expectancy of the random variable L using the following equation: ${E(L)} = {\prod\limits_{i = 1}^{N}{E\left( L_{i} \right)}}$ where N is the number of loci ${{E\left( L_{i} \right)} = {\sum\limits_{j = 1}^{G_{i}}{{{pr}\left( {{P = {{A_{ij}/S} = A_{ij}}},\overset{\_}{C}} \right)} \cdot L_{ij}}}},$ where A_(ij) is the genotype j at the ith marker, L_(iq) the ratio associated with such genotype, G_(i) being the number of genotypes at locus i. From equation 1, it can easily be derived that the expectancy of L_(i) is G_(i), the number of possible genotypes of this marker.

The general expectancy for a set of genetic markers can then be expressed by the following equation: $\begin{matrix} {{E(L)} = {\prod\limits_{i = 1}^{N}{G_{i}(2)}}} & {{Equation}\quad 2} \end{matrix}$ A. Biallelic Marker-Based DNA Typing Systems

Using the equations described above, it is possible to select biallelic marker-based DNA typing systems having a desired discriminatory potential.

Using biallelic markers, E(L) can thus be expressed as 3^(N) When using VNTR-based DNA typing systems, assuming the VNTRs have 10 alleles, E(L) can be expressed as 55^(N). Based on these results, the number of biallelic markers or VNTRs needed to obtain, in mean, a ratio of at least 10⁶ or 10⁸ can calculated, and are set forth below in Table 4. TABLE 4 Marker sets L = 10⁶ L = 10⁸ Biallelic 13 17 5-allele markers (e.g. VNTR) 5 7 10-allele markers (e.g. VNTR) 4 5

Thus, in a first embodiment, DNA typing systems and methods of the invention may comprise genotyping a set of at least 13 or at least 17 biallelic markers to obtain a ratio of at least 10⁶ or 10⁸, assuming a flat distribution of L across the biallelic markers. In preferred embodiments, a greater number of biallelic markers is genotyped to obtain a higher L value. Preferably at least 1, 2, 3, 4, 5, 10, 13, 15, 17, 20, 25, 30, 40, 50, 70, 85, 100, 150, 200, 300, 400, 500, 600 or all of the eicosanoid-related biallelic markers are genotyped. Said DNA typing systems of the invention would result in L values as listed in Table 5 below as an indication of the discriminate potential of the systems of the invention. TABLE 5 Number of biallelic markers L 50 7.2 * 10²³ 100 5*10⁴⁷ 650 3{circumflex over ( )}650

In situations where the distribution of L is not flat, such as in the worst case when the perpetrator is homozygous for the major allele at each genetic locus and L thus takes the lowest value, a larger number of biallelic markers is required for the same discriminatory potential. Therefore, in preferred embodiments, DNA typing systems and methods of the invention using a larger number of biallelic markers allow for uneven distributions of L across the biallelic markers. For example, assuming unrelated individuals, a set of independent markers having an allelic frequency of 0.1/0.9, and the genetic profile of a homozygote at each genetic loci for the major allele, 66 biallelic markers are required to obtain a ratio of 10⁶, and 88 biallelic markers are required to obtain a ratio of 10⁸. Thus, in preferred embodiments based on the use of markers having a major allele of sufficiently high frequency, this is a first estimation of the upper bound of markers required in a DNA typing system.

In further embodiments, it is also desirable to have the ability to discriminate between relatives. Although unrelated individuals have a low probability of sharing genetic profiles, the probability is greatly increased for relatives. For example, the DNA profile of a suspect matches the DNA profile of a sample at a crime scene, and the probability of obtaining the same DNA profile if left by an untyped relative is required. Table 6 below (Weir (1996)) lists probabilities for several different types of relationships, assuming alleles A_(i) and A_(j), and population frequencies p_(i) and p_(j), and lists likelihood ratios assuming genetic loci having allele frequencies of 0.1. TABLE 6 Genotype Relationship Pr(p = A|S = A) L A_(i) A_(j) Full brothers (1 + p_(i) + p_(j) + 2p_(i) p_(j))/4 3.3 Father and son (p_(i) + p_(j))/2 10.0 Half brothers (p_(i) + p_(j) + 4p_(i) p_(j))/4 16.7 Uncle and nephew (1 + p_(i) + p_(j) + 2p_(i) p_(j))/4 16.7 First cousins (1 + p_(i) + p_(j) + 12p_(i) p_(j))/8 25.0 Unrelated 2p_(i) p_(j) 50.0 A_(j) A_(j) Full brothers (1 + p_(i))²/4 3.3 Father and son p_(i) 10.0 Half brothers p_(i) (1 + p_(i))/2 18.2 Uncle and nephew p_(i) (1 + p_(i))/2 18.2 First cousins p_(i) (1 + 3p_(i))/4 30.8 Unrelated p_(i) ² 100.0

In one example, where the suspect is the full brother of the perpetrator, the number of required biallelic markers will be 187 assuming the profile is that of a homozygote for the major allele at each biallelic marker.

In yet further embodiments, the DNA typing systems and methods of the present invention may further take into account effects of subpopulations on the discriminatory potential. In embodiments described above for example, DNA typing systems consider close familial relationships, but do not take into account membership in the same population. While population membership is expected to have little effect, the invention may further comprise genotyping a larger set of biallelic markers to achieve higher discriminatory potential. Alternatively, a larger set of biallelic markers may be optimized for typing selected populations; alternatively, the ceiling principle may be used to study allele frequencies from individuals in various populations of interest, taking for any particular genotype the maximum allele frequency found among the populations.

The invention thus encompasses methods for genotyping comprising determining the identity of a nucleotide at least 13, 15, 17, 20, 25, 30, 40, 50, 66, 70, 85, 88, 100, 187, 200, 300, 500, 700, 1000 or 2000 biallelic markers in a biological sample, wherein at least 1, 2, 3, 4, 5, 10, 13, 17, 20, 25, 30, 40, 50, 70, 85, 100, 150, 200, 300, 400, 500, 600 or all of said biallelic markers are eicosanoid-related biallelic markers selected from the group consisting of the markers provided in Table 7(A-B).

Any markers known in the art may be used with the eicosanoid-related biallelic markers of the present invention in the DNA typing methods and systems described herein, for example in anyone of the following web sites offering collections of SNPs and information about those SNPs:

The Genetic Annotation Initiative (http://cgap.nci.nih.gov/GAI/). An NIH run site which contains information on candidate SNPs thought to be related to cancer and tumorigenesis generally.

dbSNP Polymorphism Repository (http://www.ncbi.nlm.nih.gov/SNP/). A more comprehensive NIH-run database containing information on SNPs with broad applicability in biomedical research.

HUGO Mutation Database Initiative http://ariel.ucs.unimelb.edu.au:80/˜cotton/mdi.htm). A database meant to provide systematic access to information about human mutations including SNPs. This site is maintained by the Human Genome Organization (HUGO).

Human SNP Database (http://vw-genome.wi.mit.edu/SNP/human/index.html). Managed by the Whitehead Institute for Biomedical Research Genome Institute, this site contains information about SNPs resulting from the many Whitehead research projects on mapping and sequencing.

SNPs in the Human-Genome SNP database (http://www.ibc.wustl.edu/SNP. This website provides access to SNPs that have been organized by chromosomes and cytogenetic location. The site is run by Washington University.

HGBase (http://hgbase.cgr.ki.se/). HGBASE is an attempt to summarize all known sequence variations in the human genome, to facilitate research into how genotypes affect common diseases, drug responses, and other complex phenotypes, and is run by the Karolinska Institute of Sweden.

The SNP Consortium Database (http://snp.cshl.org/db/snp/map). A collection of SNPs and related information resulting from the collaborative effort of a number of large pharmaceutical and information processing companies.

GeneSNPs (http://www.genome.utah.edu/genesnps/). Run by the University of Utah, this site contains information about SNPs resulting from the U.S. National Institute of Environmental Health's initiative to understand the relationship between genetic variation and response to environmental stimuli and xenobiotics.

In addition, biallelic markers provided in the following patents and patent applications may also be used with the eicosanoid-related biallelic markers of the invention in the DNA typing methods and systems described above: U.S. Ser. No. 60/206,615, filed 24 Mar. 2000; US Serial No. 60/216,745, filed 30 Jun. 2000; WIPO Serial No. PCT/IB00/00184, filed 11 Feb. 2000; WIPO Serial No. PCT/IB98/01193, filed 17 Jul. 1998; PCT Publication No. WO 99/54500, filed 21 Apr. 1999; and WIPO Serial No. PCT/IB00/00403, filed 24 Mar. 2000.

Biallelic markers, sets of biallelic markers, probes, primers, and methods for determining the identity of a nucleotide at said biallelic markers are also encompassed and are further described herein, and may encompass any further limitation described in this disclosure, alone or in any combination.

Forensic matching by microsequencing is further described in Example 8 below.

EXAMPLES

Several of the methods of the present invention are described in the following examples, which are offered by way of illustration and not by way of limitation. Many other modifications and variations of the invention as herein set forth can be made without departing from the spirit and scope thereof and therefore only such limitations should be imposed as are indicated by the appended claims.

Example 1

De Novo Identification of Biallelic Markers

The biallelic markers set forth in this application were isolated from human genomic sequences. To identify biallelic markers, genomic fragments were amplified, sequenced and compared in a plurality of individuals.

DNA Samples

Donors were unrelated and healthy. They represented a sufficient diversity for being representative of a French heterogeneous population. The DNA from 100 individuals was extracted and tested for the de novo identification of biallelic markers.

DNA samples were prepared from peripheral venous blood as follows. Thirty ml of peripheral venous blood were taken from each donor in the presence of EDTA. Cells (pellet) were collected after centrifugation for 10 minutes at 2000 rpm. Red cells were lysed in a lysis solution (50 ml final volume: 10 mM Tris pH7.6; 5 mM MgCl₂; 10 mM NaCl). The solution was centrifuged (10 minutes, 2000 rpm) as many times as necessary to eliminate the residual red cells present in the supernatant, after resuspension of the pellet in the lysis solution. The pellet of white cells was lysed overnight at 42° C. with 3.7 ml of lysis solution composed of: (a) 3 ml TE 10-2 (Tris-HCl 10 mM, EDTA 2 mM)/NaCl 0.4 M; (b) 200 μl SDS 10%; and (c) 500 μl proteinase K (2 mg proteinase K in TE 10-2/NaCl 0.4 M).

For the extraction of proteins, 1 ml saturated NaCl (6M) (1/3.5 v/v) was added. After vigorous agitation, the solution was centrifuged for 20 minutes at 10000 rpm. For the precipitation of DNA, 2 to 3 volumes of 100% ethanol were added to the previous supernatant, and the solution was centrifuged for 30 minutes at 2000 rpm. The DNA solution was rinsed three times with 70% ethanol to eliminate salts, and centrifuged for 20 minutes at 2000 rpm. The pellet was dried at 37° C., and resuspended in 1 ml TE 10-1 or 1 ml water. The DNA concentration was evaluated by measuring the OD at 260 nm (I unit OD=50 μg/ml DNA). To determine the presence of proteins in the DNA solution, the OD 260/OD 280 ratio was determined. Only DNA preparations having a OD 260/OD 280 ratio between 1.8 and 2 were used in the subsequent examples described below. DNA pools were constituted by mixing equivalent quantities of DNA from each individual.

Amplification of Genomic DNA by PCR

Amplification of specific genomic sequences was carried out on pooled DNA samples obtained as described above.

Amplification Primers

The primers used for the amplification of human genomic DNA fragments were defined with the OSP software (Hillier & Green, 1991). Preferably, primers included, upstream of the specific bases targeted for amplification, a common oligonucleotide tail useful for sequencing. Primers PU contain the following additional PU 5′ sequence: TGTAAAACGACGGCCAGT; primers RP contain the following RP 5′ sequence: CAGGAAACAGCTATGACC. Primers are listed in Table 13. Amplification PCR assays were performed using the following protocol: Final volume 25 μl DNA 2 ng/μl MgCl₂ 2 mM dNTP (each) 200 μM primer (each) 2.9 ng/μl Ampli Taq Gold DNA polymerase 0.05 unit/μl PCR buffer (10× = 0.1 M TrisHCl pH8.3 0.5M KCl) 1×

DNA amplification was performed on a Genius II thermocycler. After heating at 94° C. for 10 min, 40 cycles were performed. Cycling times and temperatures were: 30 sec at 94° C., 55° C. for 1 min and 30 sec at 72° C. Holding for 7 min at 72° C. allowed final elongation. The quantities of the amplification products obtained were determined on 96-well microtiter plates, using a fluorometer and Picogreen as intercalant agent (Molecular Probes).

Sequencing of Amplified Genomic DNA and Identification of Biallelic Polymorphisms

Sequencing of the amplified DNA was carried out on ABI 377 sequencers. The sequences of the amplification products were determined using automated dideoxy terminator sequencing reactions with a dye terminator cycle sequencing protocol. The products of the sequencing reactions were run on sequencing gels and the sequences were determined using gel image analysis (ABI Prism DNA Sequencing Analysis software 2.1.2 version).

The sequence data were further evaluated to detect the presence of biallelic markers within the amplified fragments. The polymorphism search was based on the presence of superimposed peaks in the electrophoresis pattern resulting from different bases occurring at the same position. However, the presence of two peaks can be an artifact due to background noise. To exclude such an artifact, the two DNA strands were sequenced and a comparison between the two strands was carried out. In order to be registered as a polymorphic sequence, the polymorphism had to be detected on both strands. Further, some biallelic single nucleotide polymorphisms were confirmed by microsequencing as described below.

Biallelic markers were identified in the analyzed fragments and are shown in Table 7. Also, the genomic structure of the FLAP gene and 12-LO gene including the relative location of some biallelic markers is shown in FIG. 1 and FIG. 3, respectively.

Example 2

Genotyping of Biallelic Markers

The biallelic markers identified as described above were further confirmed and their respective frequencies were determined through microsequencing. Microsequencing was carried out on individual DNA samples obtained as described herein.

Microsequencing Primers

Amplification of genomic DNA fragments from individual DNA samples was performed as described in Example 1 using the same set of PCR primers. Microsequencing was carried out on the amplified fragments using specific primers. See Table 12. The preferred primers used in microsequencing had about 19 nucleotides in length and hybridized just upstream of the considered polymorphic base.

The microsequencing reactions were performed as follows: 5 μl of PCR products were added to 5 μl purification mix (2U SAP (Shrimp alkaline phosphate) (Amersham E70092X)); 2U Exonuclease I (Amersham E70073Z); and 1 μl SAP buffer (200 mM Tris-HCl pH8, 100 mM MgCl₂) in a microtiter plate. The reaction mixture was incubated 30 minutes at 37° C., and denatured 10 minutes at 94° C. afterwards. To each well was then added 20 μl of microsequencing reaction mixture containing: 10 pmol microsequencing oligonucleotide (19mers, GENSET, crude synthesis, 50D), 1 U Thermosequenase (Amersham E79000G), 1.25 μl Thermosequenase buffer (260 mM Tris HCl pH 9.5, 65 mM MgCl₂), and the two appropriate fluorescent ddNTPs complementary to the nucleotides at the polymorphic site corresponding to both polymorphic bases (11.25 nM TAMRA-ddTTP; 16.25 nM ROX-ddCTP; 1.675 nM REG-ddATP; 1.25 nM RHO-ddGTP; Perkin Elmer, Dye Terminator Set 401095). After 4 minutes at 94° C., 20 PCR cycles of 15 sec at 55° C., 5 sec at 72° C., and 10 sec at 94° C. were carried out in a Tetrad PTC-225 thermocycler (MJ Research). The microtiter plate was centrifuged 10 sec at 1500 rpm. The unincorporated dye terminators were removed by precipitation with 19 μl MgCl₂ 2 mM and 55 μl 100% ethanol. After 15 minute incubation at room temperature, the microtiter plate was centrifuged at 3300 rpm 15 minutes at 4° C. After discarding the supernatants, the microplate was evaporated to dryness under reduced pressure (Speed Vac). Samples were resuspended in 2.5 μl formamide EDTA loading buffer and heated for 2 min at 95° C. 0.8 μl microsequencing reaction were loaded on a 10% (19:1) polyacrylamide sequencing gel. The data were collected by an ABI PRISM 377 DNA sequencer and processed using the GENESCAN software (Perkin Elmer).

Frequency of Biallelic Markers

Frequencies are reported for the less common allele only and are shown in Table 7.

Example 3

Association Study Between Asthma and the Biallelic Markers of the FLAP Gene

Collection of DNA Samples from Case and Control Individuals

The disease trait followed in this association study was asthma, a disease involving the leukotriene pathway. The asthmatic population corresponded to 298 individuals that took part in a clinical study for the evaluation of the anti-asthmatic drug Zileuton. More than 90% of these 298 asthmatic individuals had a Caucasian ethnic background. The control population was composed of 286 individuals from a random US Caucasian population.

Genotyping of Case and Control Individuals

The general strategy to perform the association studies was to individually scan the DNA samples from all individuals in each of the populations described above in order to establish the allele frequencies of the above described biallelic markers in each of these populations.

Allelic frequencies of the above-described biallelic marker alleles in each population were determined by performing microsequencing reactions on amplified fragments obtained by genomic PCR performed on the DNA samples from each individual. Genomic PCR and microsequencing were performed as detailed above in Examples 1 and 2 using the described PCR and microsequencing primers.

Frequency of the Biallelic Marker Alleles of the FLAP Gene and Association with Asthma

Frequencies of biallelic marker alleles were compared in the case-control populations described above. The association curve in FIG. 2 shows the p-value obtained for each marker and the localization of the markers in the genomic region harboring the FLAP gene. As shown in FIG. 2, the biallelic marker 10-35-390 presented a strong association with asthma, this association being highly significant (pvalue=2.29×10⁻³). The two markers 10-32-357 and 10-33-234 showed weak association when tested independently. The biallelic marker 10-35/390 is located in the FLAP gene. Therefore, the association studies results show that a polymorphism of the FLAP gene seems to be related to asthma. The biallelic marker 10-35-390 can be then used in diagnostics with a test based on this marker or on a combination of biallelic markers comprising this marker.

Haplotype Frequency Analysis

The results of the haplotype analysis using 9 biallelic markers (10-253-298, 10-32-357, 10-33-175, 10-33-234, 10-33-327, 10-35-358, 10-35-390, 12-628-306, and 12-629-241) are shown in Table 15. Haplotype analysis for association of FLAP markers and asthma was performed by estimating the frequencies of all possible 2, 3 and 4 marker haplotypes in the asthmatic and Caucasian US control populations. Haplotype estimations were performed by applying the Expectation-Maximization (EM) algorithm (Excoffier and Slatkin, 1995), using the EM-HAPLO program (Hawley et al., 1994). Estimated haplotype frequencies in the asthmatic and control populations were compared by means of a chi-square statistical test.

The most significant haplotypes obtained are shown in Table 15.

Preferred haplotypes comprise either the marker 10-33-234 (allele A) or the marker 10-35-390 (allele T). Preferred haplotype No. 1 (A at 10-33-234 and T at 10-35-390) presented a p-value of 8.2×10⁻⁴ and an odd-ratio of 1.61. Estimated haplotype frequencies were 28.3% in the cases and 19.7% in the US controls. Also preferred are haplotypes No. 2 (A at 10-33-234 and G at 12-629-241) and haplotype No. 3 (T at 10-33/327 and T at 10-33/390) which presented respectively a p-value of 1.6×10⁻³ and 1.8×10⁻³, an odd-ratio of 1.65 and 1.53 and haplotypes frequencies of 0.305 and 0.307 for the asthmatic population and of 0.210 and 0.224 for the US control population.

Preferred haplotypes consisting of three markers (haplotype nos. 37, 38, 39 and 41) comprise the marker 10-33-234 (allele A) and the marker 10-35-390 (allele T). Preferred haplotype No. 37 (A at 10-33-234, T at 10-33-390 and C at 12-628-306) presented a p-value of 8.6×10⁻⁴ and an odd-ratio of 1.76. Estimated haplotype frequencies were 26.5% in the cases and 17.1% in the US controls. Haplotype No. 40 (A at 10-33-234, C at 12-628-306 and G at 12-629-241) is also very significantly associated with asthma.

Four-marker haplotypes (haplotype Nos. 121 to 125), five-marker haplotypes (haplotype Nos. 247 and 248) and a six-marker haplotype (haplotype No. 373) also showed significant p-values. They all comprise markers 10-33-234 (allele A) and 10-35/390 (allele T), except haplotype no. 124. Other markers in these haplotypes are chosen from the group consisting of 10-235-298 (allele C), 10-35-358 (allele G), 12-628-306 (allele C) and 12-629-241 (allele G).

Haplotype No. 1 is the preferred haplotype of the invention. It can be used in diagnosis of asthma. Moreover, most of the haplotypes significantly associated with asthma comprise the biallelic marker 10-35-390 (allele A) and could also be used in diagnosis.

The statistical significance of the results obtained for the haplotype analysis was evaluated by a phenotypic permutation test reiterated 1000 or 10,000 times on a computer. For this computer simulation, data from the asthmatic and control individuals were pooled and randomly allocated to two groups which contained the same number of individuals as the case-control populations used to produce the data summarized in Table 15. A haplotype analysis was then run on these artificial groups for the 2 markers included in the haplotype No. 1, which showed the strongest association with asthma. This experiment was reiterated 1000 and 10,000 times and the results are shown in Table 16. These results demonstrate that among 1000 iterations none and among 10,000 iterations only 1 of the obtained haplotypes had a p-value comparable to the one obtained for the haplotype No. 1. These results clearly validate the statistical significance of the association between this haplotype and asthma.

Example 4

Association Between Asthma and the Biallelic Markers of the 12-lipoxygenase Gene

Collection of DNA Samples from Case and Control Individuals

The disease trait followed in this association study was asthma, a disease involving the leukotriene pathway. The asthmatic population corresponded to 297 individuals that took part in a clinical study for the evaluation of the anti-asthmatic drug zileuton. More than 90% of these 297 asthmatic individuals had a Caucasian ethnic background. The control population corresponded to 186 individuals from a random US Caucasian population.

Genotyping of Case and Control Individuals

The general strategy to perform the association studies was to individually scan the DNA samples from all individuals in each of the populations described above in order to establish the allele frequencies of the above described biallelic markers in each of these populations.

Allelic frequencies of the above-described biallelic marker alleles in each population were determined by performing microsequencing reactions on amplified fragments obtained by genomic PCR performed on the DNA samples from each individual. Genomic PCR and microsequencing were performed as detailed above in Examples 1 and 2 using the described PCR and microsequencing primers.

Haplotype Frequency Analysis

None of the single marker alleles showed a significant association with asthma however, significant results were obtained in haplotype studies. Allelic frequencies were useful to check that the markers used in the haplotype studies meet the Hardy-Weinberg proportions (random mating).

Haplotype analysis was performed using 12 biallelic markers and 17 biallelic markers. The results of the haplotype analysis using 12 biallelic markers (12-208-35, 12-226-167, 12-206-366, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 12-196-119, 12-214-129, 12-216-421, 12-219-230 and 12-223-207) are shown in Table 17. The results of the haplotype analysis using 17 biallelic markers (12-197-244, 12-208-35, 12-226-167, 12-206-366, 10-346-141, 10-347-111, 10-347-165, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 10-341-116, 12-196-119, 12-214-129, 12-216-421 and 12-219-230) are shown in Table 18. Haplotype analysis for association of 12-LO biallelic markers and asthma was performed by estimating the frequencies of all possible 2, 3 and 4 marker haplotypes in the asthmatic and control populations described above. Haplotype estimations were performed by applying the Expectation-Maximization (EM) algorithm (Excoffier and Slatkin, Mol. Biol. Evol., 12:921-927, 1995), using the EM-HAPLO program (Hawley et al., Am. J. Phys. Anthropol., 18:104, 1994) as described above. Estimated haplotype frequencies in the asthmatic and control population were compared by means of a chi-square statistical test (one degree of freedom).

Table 17 shows the most significant haplotypes obtained from the 12 biallelic marker analysis. Haplotype No.1 consisting of three biallelic markers (10-347-220, 12-214-129 and 12-219-230) presented a p-value of 2.10⁻⁵ and an odd-ratio of 3.38. Estimated haplotype frequencies were 12.3% in the cases and 4% in the controls. Haplotype No.14 consisting of four biallelic markers (10-347-203, 12-196-119, 12-216-421 and 12-219-230) had a p-value of 4.10⁻⁶ and an odd ratio of 4.18. Estimated haplotype frequencies were 11.8% in the cases and 3.1% in the controls. Haplotype No.1 and haplotype No.14, are both strongly associated with asthma. Haplotypes Nos. 2-13 and 15-24 also showed very significant Association (see Table 17).

Table 18 shows the most significant haplotypes obtained from the 17 biallelic marker analysis. Haplotype No. 1 consisting of two biallelic markers (12-206-366 and 10-349-224) presented a p-value of 1.8 10⁴ and an odd-ratio of 2.05. Estimated haplotype frequencies were 42.4% in the cases and 26.5% in the controls. Haplotype No. 7 consisting of three biallelic markers (10-349-97, 12-214-129, 12-219-230) had a p-value of 2.3 10⁻⁵ and an odd ratio of 3.32. Estimated haplotype frequencies were 12.5% in the cases and 4.1% in the controls. Haplotype No. 27 consisting of four biallelic markers (10-349-97, 12-196-119, 12-216-421 and 12-219-230) had a p-value of 5.4 10⁻⁶ and an odd ratio of 3.90. Estimated haplotype frequencies were 12.4% in the cases and 3.5% in the controls. Haplotypes Nos. 1, 7 and 27 are strongly associated with asthma. Other haplotypes also showed very significant association (see Table 18).

The statistical significance of the results obtained for the haplotype analysis was evaluated by a phenotypic permutation test reiterated 1000 or 10,000 times on a computer. For this computer simulation, data from the asthmatic and control individuals were pooled and randomly allocated to two groups which contained the same number of individuals as the case-control populations used to produce the data summarized in Tables 17 and 18. A haplotype analysis was then run on these artificial groups for the markers included in haplotype No. 14 from Table 17 and for the markers included in haplotypes Nos. 7 and 27 from Table 18, which showed the strongest association with asthma. This experiment was reiterated 1000 and 10,000 times and the results are shown in Table 21 and Table 22, respectively. These results demonstrate that among 1000 iterations only 7 and among 10,000 iterations only 39 of the obtained haplotypes from the 12 biallelic marker set had a p-value comparable to the one obtained for haplotype No.14 from Table 17. Also, among 1000 iterations only 2 of the obtained haplotypes from the 17 biallelic marker set had a p-value comparable to the one obtained for haplotype No. 7 from Table 18. These results further demonstrate that among 1000 iterations none of the obtained haplotypes had a p-value comparable to the one obtained for haplotype No. 27 from Table 18. These results clearly validate the statistical significance of the association between the haplotypes shown in Tables 17 and 18 and asthma.

Example 5

Association Between Side Effects Upon Treatment with the Anti-Asthmatic Drug Zileuton (Zyflo™) and the Biallelic Markers of the 12-lipoxygenase Gene

Collection of DNA Samples from Case and Control Individuals

The side effect examined in this study was the hepatotoxicity experienced by asthmatic individuals as a result of their treatment with Zileuton as part of a clinical study. Asthmatic individuals were unrelated and more than 90% of the individuals had a Caucasian ethnic background. Hepatotoxicity was monitored by measuring the serum levels of alanine aminotransferase (ALT), which is a sensitive indicator of liver cell damage.

More than 90% of the asthmatic individuals participating in this study did not experience Zileuton-associated ALT increase compared to their ALT levels prior to zileuton intake. As mentioned above, an association study is more informative if the case-control populations present extreme phenotypes. Therefore, the asthmatic individuals, which were selected for the side effect positive trait (ALT+), corresponded to 89 individuals that presented at least 3 times the upper limit of normal (ULN) level of ALT. On the other side, the asthmatic individuals that were selected for the side effect negative trait (ALT−) corresponded to 208 individuals that presented less than 1×ULN of ALT. ALT+ and ALT− populations corresponded to 4% and 35% respectively of the total asthmatic individuals that participated in this study.

Genotyping of Case and Control Individuals

The general strategy to perform the association studies was to individually scan the DNA samples from all individuals in each of the populations described above in order to establish the allele frequencies of the above described biallelic markers in each of these populations.

Allelic frequencies of the above-described biallelic marker alleles in each population were determined by performing microsequencing reactions on amplified fragments obtained by genomic PCR performed on the DNA samples from each individual. Genomic PCR and microsequencing were performed as detailed above in Examples 1 and 2 using the described PCR and microsequencing primers.

Haplotype Frequency Analysis

None of the single marker alleles showed a significant association with hepatoxicity to zileuton, however, significant results were obtained in haplotype studies.

Haplotype analysis was performed using 12 biallelic markers and 17 biallelic markers. The results of the haplotype analysis using 12 biallelic markers (12-208-35, 12-226-167, 12-206-366, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 12-196-119, 12-214-129, 12-216-421, 12-219-230 and 12-223-207) are shown in Table 19. The results of the haplotype analysis using 17 biallelic markers (12-197-244, 12-208-35, 12-226-167, 12-206-366, 10-346-141, 10-347-111, 10-347-165, 10-347-203, 10-347-220, 10-349-97, 10-349-224, 10-341-116, 12-196-119, 12-214-129, 12-216-421 and 12-219-230) are shown in Table 20. Haplotype analysis for association of 12-LO biallelic markers and asthma was performed by estimating the frequencies of all possible 2, 3, 4 and 5 marker haplotypes in the ALT+ and ALT− populations described above. Haplotype estimations were performed by applying the Expectation-Maximization (EM) algorithm (Excoffier and Slatkin, Mol. Biol. Evol., 12:921-927, 1995), using the EM-HAPLO program (Hawley et al., Am. J. Phys. Anthropol., 18:104, 1994) as described above. Estimated haplotype frequencies in the ALT+ and ALT− populations were compared by means of a chi-square statistical test (one degree of freedom).

Table 19 shows the most significant haplotypes obtained from the 12 biallelic marker analysis. Haplotype No.3 consisting of three biallelic markers (10-349-224, 12-216-421 and 12-223-207) presented a p-value of 4.10⁻⁵ and an odd-ratio of 3.53. Estimated haplotype frequencies were 15.1% in the cases and 4.8% in the controls. Haplotype No. 8 consisting of four biallelic markers (12-206-366, 10-349-224, 12-216-421 and 12-223-207) had a p-value of 2.9.10⁻⁶ and an odd ratio of 4.56. Estimated haplotype frequencies were 15.8% in the cases and 4% in the controls. Both haplotypes showed strong association with elevated serum ALT level upon treatment with zileuton. Both haplotypes are related as three out of four biallelic marker alleles (T at 10-349-224, A at 12-216-421 and T at 12-223-207) are common to both haplotypes. Haplotypes Nos. 4-7 and 9-25 also showed very significant association.

Table 20 shows the most significant haplotypes obtained from the 17 biallelic marker analysis. Haplotype No. 11 consisting of three biallelic markers (12-197/244, 10-349-224 and 12-216-421) presented a p-value of 1.7.10-3 and an odd-ratio of 2.66, for alleles CTA respectively. Estimated haplotype frequencies were 13.7% in the cases and 5.6% in the controls. The p-value obtained by a chi-square distribution with 7 df for this combination of markers is 2.310⁻² by Omnibus test suggesting that result is highly significant. Another haplotype consisting of four biallelic markers (12-208-35, 10-512/36, 12-196-119 and 12-219/230) presented a p-value of 3.7.10⁻⁵ and an odd-ratio of 3.74. Estimated haplotype frequencies were 14.7% in the cases and 4.4% in the controls. The p-value obtained by a chi-square distribution with 15 df for this combination of markers is 5.410⁻⁴ by Omnibus test. Both haplotypes showed strong association with elevated serum ALT level upon treatment with zileuton. Both haplotypes are related as three out of four biallelic marker alleles (C at 12-197/244, T at 10-349-224 and A at 12-216-421) are common to both haplotypes. Other haplotypes also showed very significant association.

The statistical significance of the results obtained for the haplotype analysis was evaluated by a phenotypic permutation test reiterated 100, 1000 or 10,000 times on a computer. For this computer simulation, data from the ALT+ and ALT− populations were pooled and randomly allocated to two groups which contained the same number of individuals as the ALT+ and ALT-populations used to produce the data summarized in Tables 19 and 20. A haplotype analysis was then run on the artificial groups for the 4 markers included in haplotype No. 8 from Table 17 and on the artificial groups for the 4 markers included in haplotype No. 13 from Table 18, which showed the strongest association with secondary effects to zileuton. This experiment was reiterated 1000 and 10,000 times and the results are shown in Table 21 and Table 22, resepectively. These results demonstrate that among 1000 iterations only 5 and among 10,000 iterations only 77 of the obtained haplotypes from the 12 biallelic markers had a p-value comparable to the one obtained for haplotype No. 8. These results demonstrate that among 100 iterations only 3 of the obtained haplotypes from the 17 biallelic markers had a p-value comparable to the one obtained for haplotype No. 11. The p-value obtained by permutating affected status for the omnibus LR test is 2.2.10⁻². These results clearly validate the statistical significance of the association between hepatotoxicity to Zyflo™ and the haplotypes Nos. 3-25 and Nos. 6-30 shown in Table 19 and Table 20, respectively.

Allele Frequency Analysis

Allele frequencies were determined in a random US caucasian population, in an asthmatic population showing no side effects upon treatment with Zyflo™ (ALT−) and in an asthmatic population showing elevated alanine aminotransferase levels upon treatment with Zyflo™ (ALT+). Table 23 is a chart containing a list of preferred 12-LO-related biallelic markers with an indication of the frequency of the least common allele determined by genotyping as described in Example 2.

Example 6

Identification of Mutations and of Low Frequency Alleles of the 12-LO Gene

Exons 6, 8 and 14 of the 12-lipoxygenase gene were screened for mutations by comparing their sequence in individuals exhibiting elevated ALT levels upon treatment with zileuton (ALT+) and in individuals showing normal ALT levels upon treatment with zileuton (ALT−). ALT+ and ALT− individuals are further described in Example 5. Intron sequences immediately flanking these exons were also screened.

To identify mutations, fragments of the 12-LO gene were amplified, sequenced and compared in ALT+ and ALT− individuals. DNA samples from each individual were processed separately.

DNA Samples

Individual DNA samples were obtained as described in Example 1.

Amplification of the 12-LO Gene

Amplification primers are described in Table 13. PCR assays were performed as described in Example 1.

Sequencing of Amplified Genomic DNA: Identification of Mutations and of Low Frequency Polymorphisms

Sequencing of the amplified DNA was carried out on ABI 377 sequencers. The sequences of the amplification products were determined using automated dideoxy terminator sequencing reactions with a dye terminator cycle sequencing protocol. The products of the sequencing reactions were run on sequencing gels and the sequences were determined using gel image analysis (ABI Prism DNA Sequencing Analysis software 2.1.2 version).

The sequence data was further analyzed to detect the presence of mutations and of low frequency alleles. The sequences of exon 6, exon 8, exon 14 and flanking intronic sequences in 79 ALT+ individuals and 105 ALT− individuals were compared. New polymorphisms/mutations were detected and the genotype of each individual for these markers was determined. Results are shown below: Position in 12-LO Least Common Original Marker ID Gene Allele/Mutation Allele 10-508-191 5′ flanking region C T 10-508-245 5′ flanking region T C 10-511-62 5′ flanking region T C 10-511-337 5′ flanking region Insertion T — 10-512-36 5′ flanking region C G 10-512-318 5′ flanking region A G 10-513-250 5′ flanking region A G 10-513-262 5′ flanking region T C 10-513-352 5′ flanking region A G 10-513-365 5′ flanking region A G 10-343-231 Exon 2 Deletion C — 10-343-366 Intron 2 C T 10-343-278 Intron 2 T C 10-343-339 Intron 4 T G 10-346-23 Intron 4 G A 10-346-141 Exon 5 A G 10-346-263 Intron 5 G C 10-346-305 Intron 5 C T 10-347-74 Intron 5 A G 10-347-111 Exon 6 G C 10-347-165 Exon 6 T C 10-347-203 Exon 6 G A 10-347-220 Exon 6 A G 10-347-271 Intron 6 T A 10-347-348 Intron 6 A G 10-348-391 Intron 7 A G 10-349-47 Intron 7 C T 10-349-97 Exon 8 G A 10-349-142 Exon 8 G C 10-349-216 Exon 8 Deletion CTG — 10-349-224 Exon 8 T G 10-349-368 Intron 8 C T 10-350-72 Intron 8 T C 10-350-332 Intron 9 C T 10-507-170 Exon 11 G A 10-507-321 Intron 11 A C 10-507-353 Intron 11 T C 10-507-364 Intron 11 T C 10-507-405 Intron 11 T C 10-339-32 Intron 11 T C 10-339-124 Intron 11 T C 10-340-112 Exon 13 A C 10-340-130 Exon 13 A T 10-340-238 Intron 13 A G 10-341-116 Exon 14 A G 10-341-319 Exon 14 T C (5′UTR) 10-342-301 3′ flanking region Insertion A — 10-342-373 3′ flanking region T C

Low frequency polymorphisms and mutations identified in exons 5, 6, 8, and 13 are associated with amino acid substitutions at the polypeptide level. In each of these amino acid substitutions the original residue is replaced by a non-equivalent amino acid presenting different chemical properties. As a consequence, specificity, activity and function of the 12-LO enzyme are modified. Biallelic marker 10-343-231 is associated with a frame shift in the open reading frame of the 12-LO gene leading to the expression of a variant 12-LO polypeptide comprising only 131 amino acids. This mutant 12-LO enzyme is probably inactive or shows differences in specificity, activity and function. Biallelic marker 10-343-231 is associated with the deletion of a Leu residue in the 12-LO polypeptide.

The mutations and low frequency polymorphisms listed above represent potential functional mutations of the 12-LO gene.

Example 7

15 Preparation of Antibody Compositions to 12-lipoxygenase Variants

Preferably antibody compositions, specifically binding the 189-His variant of the 12-LO protein or, to the 225-His variant of the 12-LO protein or, to the 243-Cys variant of the 12-LO protein or, to the 261-Arg variant of the 12-LO protein or, to the 322-Asn variant of the 12-LO or, to the 337-Arg variant of the 12-LO protein or to the 574-Lys variant of 12-LO, are prepared. Other preferred antibody compositions of the invention are capable of specifically binding to amino acid positions 110-131 of SEQ ID No. 654.

Substantially pure protein or polypeptide is isolated from transfected or transformed cells containing an expression vector encoding the 12-LO protein or a portion thereof. The concentration of protein in the final preparation is adjusted, for example, by concentration on an Amicon filter device, to the level of a few micrograms per ml. Monoclonal or polyclonal antibodies to the protein can then be prepared as follows:

Monoclonal Antibody Production by Hybridoma Fusion

Monoclonal antibody to epitopes in the 12-LO protein or a portion thereof can be prepared from murine hybridomas according to the classical method of Kohler and Milstein (Nature, 256:495, 1975, the disclosure of which is incorporated herein by reference in its entirety) or derivative methods thereof (see Harlow and Lane, Antibodies A Laboratory Manual, Cold Spring Harbor Laboratory, pp. 53-242, 1988, the disclosure of which is incorporated herein by reference in its entirety).

Briefly, a mouse is repetitively inoculated with a few micrograms of the 12-LO protein or a portion thereof over a period of a few weeks. The mouse is then sacrificed, and the antibody producing cells of the spleen isolated. The spleen cells are fused by means of polyethylene glycol with mouse myeloma cells, and the excess unfused cells destroyed by growth of the system on selective media comprising aminopterin (HAT media). The successfully fused cells are diluted and aliquots of the dilution placed in wells of a microtiter plate where growth of the culture is continued. Antibody-producing clones are identified by detection of antibody in the supernatant fluid of the wells by immunoassay procedures, such as ELISA, as originally described by Engvall, E., Meth. Enzymol. 70:419 (1980), , the disclosure of which is incorporated herein by reference in its entirety, and derivative methods thereof. Selected positive clones can be expanded and their monoclonal antibody product harvested for use. Detailed procedures for monoclonal antibody production are described in Davis, L. et al. Basic Methods in Molecular Biology Elsevier, New York. Section 21-2, the disclosure of which is incorporated herein by reference in its entirety.

Polyclonal Antibody Production by Immunization

Polyclonal antiserum containing antibodies to heterogeneous epitopes in the 12-LO protein or a portion thereof can be prepared by immunizing suitable non-human animal with the 12-LO protein or a portion thereof, which can be unmodified or modified to enhance immunogenicity. A suitable non-human animal is preferably a non-human mammal is selected, usually a mouse, rat, rabbit, goat, or horse. Alternatively, a crude preparation which, has been enriched for 12-LO concentration can be used to generate antibodies. Such proteins, fragments or preparations are introduced into the non-human mammal in the presence of an appropriate adjuvant (e.g. aluminum hydroxide, RIBI, etc.) which is known in the art. In addition the protein, fragment or preparation can be pretreated with an agent which will increase antigenicity, such agents are known in the art and include, for example, methylated bovine serum albumin (mBSA), bovine serum albumin (BSA), Hepatitis B surface antigen, and keyhole limpet hemocyanin (KLH). Serum from the immunized animal is collected, treated and tested according to known procedures. If the serum contains polyclonal antibodies to undesired epitopes, the polyclonal antibodies can be purified by immunoaffinity chromatography.

Effective polyclonal antibody production is affected by many factors related both to the antigen and the host species. Also, host animals vary in response to site of inoculations and dose, with both inadequate or excessive doses of antigen resulting in low titer antisera. Small doses (ng level) of antigen administered at multiple intradermal sites appears to be most reliable. Techniques for producing and processing polyclonal antisera are known in the art, see for example, Mayer and Walker (1987), the disclosure of which is incorporated herein by reference in its entirety. An effective immunization protocol for rabbits can be found in Vaitukaitis, J. et al. J. Clin. Endocrinol. Metab. 33:988-991 (1971), the disclosure of which is incorporated herein by reference in its entirety. Booster injections can be given at regular intervals, and antiserum harvested when antibody titer thereof, as determined semi-quantitatively, for example, by double immunodiffusion in agar against known concentrations of the antigen, begins to fall. See, for example, Ouchterlony, O. et al., Chap. 19 in: Handbook of Experimental Immunology D. Wier (ed) Blackwell (11973), the disclosure of which is incorporated herein by reference in its entirety. Plateau concentration of antibody is usually in the range of 0.1 to 0.2 mg/ml of serum (about 12 μM). Affinity of the antisera for the antigen is determined by preparing competitive binding curves, as described, for example, by Fisher, D., Chap. 42 in: Manual of Clinical Immunology, 2d Ed. (Rose and Friedman, Eds.) Amer. Soc. For Microbiol., Washington, D.C. (1980), the disclosure of which is incorporated herein by reference in its entirety.

Antibody preparations prepared according to either the monoclonal or the polyclonal protocol are useful in quantitative immunoassays which determine concentrations of antigen-bearing substances in biological samples; they are also used semi-quantitatively or qualitatively to identify the presence of antigen in a biological sample. The antibodies may also be used in therapeutic compositions for killing cells expressing the protein or reducing the levels of the protein in the body.

Example 8

Forensic Matching by Microsequencing

DNA samples are isolated from forensic specimens of, for example, hair, semen, blood or skin cells by conventional methods. A panel of PCR primers based on a number of the sequences of of the invention is then utilized according to the methods described herein to amplify DNA of approximately 500 bases in length from the forensic specimen. The alleles present at each of the selected biallelic markers site according to biallelic markers of the invention are then identified according Examples discussed herein. A simple database comparison of the analysis results determines the differences, if any, between the sequences from a subject individual or from a database and those from the forensic sample. In a preferred method, statistically significant differences between the suspect's DNA sequences and those from the sample conclusively prove a lack of identity. This lack of identity can be proven, for example, with only one sequence. Identity, on the other hand, should be demonstrated with a large number of sequences, all matching. Preferably, a minimum of 13, 17, 20, 25, 30, 40, 50, 66, 70, 85, 88, 100, 187, 200 or 500 biallelic markers are used to test identity between the suspect and the sample.

The disclosures of all issued patents, published PCT applications, scientific references or other publications cited herein are incorporated herein by reference in their entireties.

Although this invention has been described in terms of certain preferred embodiments, other embodiments which will be apparent to those of ordinary skill in the art of view of the disclosure herein are also within the scope of this invention. Accordingly, the scope of the invention is intended to be defined only by reference to the appended claims.

In accordance with the regulations relating to Sequence Listings, the following codes have been used in the Sequence Listing to indicate the locations of biallelic markers within the sequences and to identify each of the alleles present at the polymorphic base. The code “r” in the sequences indicates that one allele of the polymorphic base is a guanine, while the other allele is an adenine. The code “y” in the sequences indicates that one allele of the polymorphic base is a thymine, while the other allele is a cytosine. The code “m” in the sequences indicates that one allele of the polymorphic base is an adenine, while the other allele is a cytosine. The code “k” in the sequences indicates that one allele of the polymorphic base is a guanine, while the other allele is a thymine. The code “s” in the sequences indicates that one allele of the polymorphic base is a guanine, while the other allele is a cytosine. The code “w” in the sequences indicates that one allele of the polymorphic base is an adenine, while the other allele is a thymine.

In some instances, the polymorphic bases of the biallelic markers alter the identity of amino acids in the encoded polypeptide. This is indicated in the accompanying Sequence Listing by use of the feature VARIANT, placement of a Xaa at the position of the polymorphic amino acid, and definition of Xaa as the two alternative amino acids. For example, if one allele of a biallelic marker is the codon CAC, which encodes histidine, while the other allele of the biallelic marker is CAA, which encodes glutamine, the Sequence Listing for the encoded polypeptide will contain an Xaa at the location of the polymorphic amino acid. In this instance, Xaa would be defined as being histidine or glutamine.

In other instances, Xaa may indicate an amino acid whose identity is unknown because of nucleotide sequence ambiguity. In this instance, the feature UNSURE is used, Xaa is placed at the position of the unknown amino acid, and Xaa is defined as being any of the 20 amino acids or a limited number of amino acids suggested by the genetic code. TABLE 7A List of all of the eicosanoid-related biallelic markers. BIALLELIC GENOTYPING MARKER VALIDATION LEAST COMMON ALLELE BIALLELIC SEQ ID POSITION IN MICRO- FREQUENCY GENE MARKER ID NO. SEQ ID NO. SEQUENCING % FLAP 10-253-118 1 478 N FLAP 10-253-298 2 478 Y G 4.57 FLAP 10-253-315 3 478 N FLAP 10-499-155 4 478 N FLAP 10-520-256 5 478 N T 40.8 FLAP 10-500-258 6 478 N FLAP 10-500-410 7 478 N FLAP 10-503-159 8 478 N FLAP 10-504-172 9 478 N FLAP 10-504-243 10 478 N FLAP 10-204-326 11 478 Y A 6.63 FLAP 10-32-357 12 478 Y A 33.5 FLAP 10-33-175 13 478 Y T 2.30 FLAP 10-33-211 14 478 N FLAP 10-33-234 15 478 Y A 44.0 FLAP 10-33-270 16 478 Y G/G FLAP 10-33-327 17 478 Y C 24.5 FLAP 10-34-290 18 478 N FLAP 10-35-358 19 478 Y C 31.3 FLAP 10-35-390 20 478 Y T 23.0 FLAP 10-36-164 21 478 Y G/G FLAP 10-498-192 22 478 N FLAP 12-628-306 23 478 Y T 10.3 FLAP 12-628-311 24 478 N FLAP 12-629-241 25 478 Y C 28.3 12-LO 12-206-366 26 478 Y C 38.2 12-LO 10-343-339 27 478 N 12-LO 10-347-74 28 478 N 12-LO 10-347-111 29 478 N G/G 12-LO 10-347-165 30 478 N C/C 12-LO 10-347-203 31 478 Y G 41.6 12-LO 10-347-220 32 478 Y A 40.5 12-LO 10-347-271 33 478 N 12-LO 10-347-348 34 478 N 12-LO 10-348-391 35 478 N 12-LO 10-349-47 36 478 N 12-LO 10-349-97 37 478 Y G 39.6 12-LO 10-349-142 38 478 N C/C 12-LO 10-349-224 39 478 Y T 39.6 12-LO 10-349-368 40 478 N 12-LO 10-339-32 41 478 N 12-LO 10-341-116 42 478 Y A 10.8 12-LO 10-341-319 43 478 N 12-LO 12-196-119 44 119 Y C 29.1 12-LO 12-197-244 45 243 Y C 32.8 12-LO 12-198-128 46 128 N 12-LO 12-206-81 47 478 N 12-LO 12-208-35 48 35 Y A 42.3 12-LO 12-214-129 49 129 Y C 38.7 12-LO 12-214-151 50 151 N 12-LO 12-214-360 51 358 N 12-LO 12-215-467 52 466 N 12-LO 12-216-421 53 418 Y A 36.0 12-LO 12-219-230 54 229 Y G 32.1 12-LO 12-219-256 55 255 N 12-LO 12-220-48 56 478 N 12-LO 12-221-302 57 302 N 12-LO 12-223-179 58 179 N 12-LO 12-223-207 59 207 Y C 38.4 12-LO 12-225-541 60 540 Y C 37.4 12-LO 12-226-167 61 166 Y G 41.2 12-LO 12-226-458 62 455 N 12-LO 12-229-332 63 332 N 12-LO 12-229-351 64 351 N 12-LO 12-230-364 65 364 N 12-LO 12-231-100 66 99 N 12-LO 12-231-148 67 147 N 12-LO 12-231-266 68 265 N cPLA₂ 10-231-23 69 500 Y A 8.79 cPLA₂ 10-233-386 70 501 Y G 28.3 cPLA₂ 10-239-368 72 501 N cPLA₂ 10-223-30 73 501 Y G 22.5 cPLA₂ 10-223-72 74 501 N cPLA₂ 10-223-130 75 501 N cPLA₂ 10-223-262 76 501 N cPLA₂ 10-223-392 77 501 N cPLA₂ 10-224-341 78 501 N cPLA₂ 10-227-282 79 501 Y G 3.93 ANX1 10-240-241 80 501 N ANX1 10-249-185 81 501 N ANX1 10-251-128 82 501 N ANX1 10-252-209 83 501 N ANX1 12-387-32 84 501 Y G 33.9 ANX1 10-242-316 85 500 N ANX1 10-245-412 86 501 N ANX1 12-378-171 87 501 N ANX1 12-378-228 88 501 N ANX1 12-378-450 89 501 N ANX1 12-379-65 90 501 N ANX1 12-382-204 91 501 Y G 50.0 ANX1 12-383-117 92 501 N ANX1 12-383-170 93 501 N ANX1 12-383-268 94 501 N ANX1 12-384-336 95 501 N ANX1 12-384-451 96 501 N ANX1 12-385-123 97 258 N ANX1 12-385-427 98 501 N ANX1 12-386-155 99 443 Y G 8.15 ANX1 12-386-24 100 313 N ANX1 12-387-177 101 501 Y T 33.5 ANX1 12-389-431 102 501 N ANX1 12-391-366 103 501 N ANX1 12-394-85 104 501 N ANX1 12-395-382 105 385 N ANX1 12-400-217 106 501 Y G 27.2 ANX1 12-400-280 107 501 N ANX1 12-401-378 108 380 N ANX1 12-402-126 109 323 N ANX1 12-404-265 110 317 N ANX1 12-406-52 111 501 N ANX1 12-406-409 112 501 N ANX1 12-407-217 113 501 N ANX1 12-407-399 114 501 N ANX1 12-408-355 115 501 Y G 2.69 ANX1 12-409-221 116 229 N ANX1 12-410-301 117 486 N ANX2 10-395-101 118 501 N ANX2 10-395-124 119 501 N ANX2 10-395-155 120 501 N ANX2 10-395-294 121 501 N ANX2 10-396-100 122 501 N ANX2 10-397-201 123 501 N ANX2 10-399-178 124 501 N ANX2 10-400-369 125 501 N ANX2 10-392-20 126 497 N ANX2 10-392-103 127 501 N ANX2 10-392-324 128 501 N ANX2 10-393-27 129 501 N ANX2 10-393-324 130 501 N ANX2 12-727-237 131 501 N ANX2 12-728-224 132 501 N ANX2 12-730-142 133 501 N ANX2 12-730-193 134 501 N ANX2 12-731-60 135 501 N ANX2 12-731-119 136 501 N ANX2 12-731-137 137 501 N ANX2 12-731-146 138 501 N ANX2 12-731-398 139 501 N ANX2 12-732-113 140 501 N ANX2 12-732-164 141 501 N ANX2 12-732-165 142 501 Y C 27.4 ANX2 12-732-445 143 501 N ANX2 12-734-201 144 501 N ANX2 12-735-42 145 501 N ANX2 12-736-363 146 501 N ANX2 12-737-69 147 501 Y A 36.8 ANX2 12-737-296 148 501 N ANX2 12-738-429 149 501 Y T 35.5 ANX2 12-740-112 150 501 Y G 37.6 ANX2 12-740-118 151 501 N ANX2 12-741-265 152 501 N ANX2 12-741-327 153 501 N ANX2 12-741-376 154 501 N ANX2 12-745-30 155 501 N ANX2 12-745-75 156 501 N ANX2 12-745-343 157 501 N ANX2 12-745-350 158 501 N ANX2 12-746-320 159 501 N ANX2 12-747-181 160 501 N ANX2 12-747-302 161 501 N ANX2 12-749-240 162 501 N ANX2 12-749-255 163 501 N ANX2 12-752-37 164 508 N ANX2 12-752-85 165 501 N ANX2 12-752-196 166 501 N ANX2 12-752-484 167 501 N ANX2 12-753-139 168 501 N ANX2 12-753-376 169 501 N ANX2 12-754-172 170 501 N ANX2 12-754-218 171 501 N ANX2 12-754-328 172 501 N ANX2 12-754-396 173 501 N ANX2 12-755-280 174 501 N ANX2 12-757-384 175 501 N ANX2 12-758-257 176 501 N ANX2 12-758-374 177 501 N ANX2 12-758-424 178 501 N ANX2 12-761-23 179 541 N ANX2 12-761-178 180 501 N ANX2 12-764-329 181 501 N ANX2 12-764-377 182 501 N ANX2 12-765-168 183 501 N ANX2 12-765-504 184 501 N ANX3 10-372-279 185 501 N ANX3 10-375-136 186 501 N ANX3 10-376-281 187 501 N ANX3 10-369-392 188 501 N ANX3 10-371-257 189 501 N ANX3 12-513-389 190 501 N ANX3 12-513-494 191 501 N ANX3 12-515-394 192 501 N ANX3 12-516-97 193 501 Y T 37.2 ANX3 12-520-287 194 501 N ANX3 12-520-323 195 501 Y A 21.5 ANX3 12-523-179 196 501 Y A 29.9 ANX3 12-523-270 197 501 N ANX3 12-527-367 198 501 Y T 18.9 ANX3 12-529-376 199 501 N ANX3 12-529-489 200 501 N ANX3 12-530-134 201 501 Y T 39.3 ANX3 12-530-393 202 501 N ANX3 12-531-173 203 501 Y C 37.6 ANX3 12-539-441 204 501 N ANX3 12-543-78 205 501 N ANX3 12-543-79 206 501 N ANX3 12-546-235 207 501 N ANX3 12-549-287 208 501 N ANX3 12-550-287 209 501 N ANX3 12-552-175 210 501 N ANX3 12-554-330 211 501 N ANX3 12-556-312 212 501 N ANX3 12-556-443 213 501 N ANX3 12-558-205 214 501 N ANX3 12-558-238 215 501 N ANX3 12-558-305 216 501 N ANX3 12-769-39 217 501 N ANX3 12-769-430 218 501 N ANX3 12-770-73 219 501 N ANX3 12-772-200 220 501 N ANX3 12-772-254 221 501 N CAL1 10-87-73 222 72 N CAL1 10-87-74 223 73 N CAL1 10-87-80 224 79 N CAL1 10-87-140 225 138 N CAL1 10-88-81 226 81 Y C 44.7 CAL1 10-89-41 227 41 N CAL1 10-90-35 228 35 Y A 1.14 CAL1 10-91-274 229 274 N CAL1 10-93-133 230 133 N CAL1 10-94-197 231 197 Y G/G CAL1 10-94-198 232 198 N CAL1 10-166-362 233 362 N CAL2 10-207-386 234 387 Y C/C CAL2 10-207-409 235 409 Y G 9.04 CAL2 10-118-307 236 307 Y A 0.27 CAL2 10-173-247 237 247 N CAL2 10-173-294 238 294 Y G 2.87 CAL2 10-173-347 239 347 Y C/C CAL3 10-103-104 240 104 N CAL3 10-103-323 241 323 Y T 22.3 CAL3 10-103-402 242 403 N CAL3 10-106-98 243 98 N CAL3 10-106-288 244 288 Y CAL3 10-106-378 245 380 Y CAL3 10-168-160 246 160 Y T 42.1 CAL3 10-168-206 247 206 Y CAL3 10-168-284 248 283 N CAL3 10-169-318 249 317 N CALPA1 12-86-79 250 501 Y C 37.4 CALPA1 12-88-393 251 501 N CALPA1 12-89-369 252 501 Y G 36.3 CALPA1 12-89-91 253 501 N CALPA1 12-94-210 254 501 N CALPA1 12-94-516 255 521 N CALPA1 12-96-64 256 501 Y T 8.52 CALPA1 12-97-83 257 501 N CALPA1 12-99-296 258 501 Y T 6.45 CALPA1 12-100-266 259 501 Y G 32.2 CALPA1 12-811-174 260 501 N CALPA1 12-815-94 261 501 N CALPA1 12-815-383 262 501 N CALPA1 12-815-384 263 500 N CALPA1 12-815-391 264 501 N CALPA1 12-817-214 265 501 N CALPA1 12-817-355 266 501 N CALPA1 12-819-437 267 501 N CALPA1 12-821-62 268 501 N CALPA1 12-821-483 269 501 N CALPA1 12-825-173 270 501 N CALPA1 12-826-312 271 501 N CALPA1 12-831-59 272 501 N CALPA1 12-833-264 273 501 N CALPA1 12-833-279 274 501 N CALPA1 12-833-280 275 502 N CALPA1 12-833-373 276 501 N CALPA1 12-834-183 277 483 N CALPA1 12-835-54 278 501 N CALPA1 12-836-134 279 501 N CALPA1 12-836-237 280 500 N CALPA1 12-836-238 281 476 N CALPA1 12-836-257 282 498 N CALPA1 12-836-275 283 501 N CALPA1 12-838-179 284 501 N CALPA1 12-839-397 285 501 N CALPA1 12-840-47 286 501 N CALPA1 12-840-77 287 501 N CALPA1 12-841-445 288 445 N CALPA1 12-842-215 289 501 N CALPA1 12-842-447 290 499 N CALPA1 12-844-167 291 501 N CALPA1 12-845-364 292 501 N CALPA1 12-846-209 293 501 N CALPA1 12-847-123 294 501 N CALPA1 12-849-242 295 501 N CYP2J2 10-336-58 296 501 N CYP2J2 10-336-137 297 501 N CYP2J2 10-336-232 298 501 N CYP2J2 12-102-104 299 379 N CYP2J2 12-102-111 300 386 N CYP2J2 12-102-275 301 501 N CYP2J2 12-103-202 302 501 Y C 14.3 CYP2J2 12-103-214 303 501 N CYP2J2 12-104-351 304 501 Y T 27.4 CYP2J2 12-105-435 305 439 N CYP2J2 12-109-149 306 278 Y A 8.51 CYP2J2 12-109-197 307 326 N CYP2J2 12-109-209 308 338 N CYP2J2 12-109-284 309 413 N CYP2J2 12-113-276 310 501 Y G 31.2 CYP2J2 12-115-57 311 501 Y G 8.87 CYP2J2 12-119-26 312 501 Y G 29.8 COX1 12-347-308 313 501 N COX1 12-354-334 314 501 Y C/C COX1 12-357-140 315 501 Y C 7.14 COX1 12-361-320 316 501 Y G 18.3 COX1 12-361-388 317 501 Y A 18.5 COX1 12-365-251 318 501 Y C 18.8 COX1 12-374-261 319 501 Y T 21.3 COX1 10-308-116 320 501 N COX1 10-311-274 321 501 N COX1 10-314-76 322 501 N COX1 10-306-265 323 501 N COX2 10-52-386 324 386 N COX2 10-62-240 325 240 Y C 12.23 COX2 10-65-276 326 276 Y COX2 10-67-42 327 42 N COX2 10-67-340 328 341 Y COX2 10-55-265 329 264 Y C 40.9 COX2 10-57-278 330 278 Y COX2 10-59-176 331 176 Y COX2 10-60-114 332 114 N PGDS 10-27-176 333 176 Y A 5.32 PGDS 10-28-242 334 242 Y PGDS 10-30-349 335 350 Y A/A PGDS 10-181-42 336 42 Y C 30.2 PGDS 10-181-372 337 374 Y C 26.3 PGDS 10-183-260 338 259 N PG15OH 10-475-163 339 501 N PG15OH 12-884-203 340 501 Y T 29.7 PG15OH 10-479-266 341 501 N PG15OH 10-479-350 342 501 N PG15OH 10-479-394 343 501 N PG15OH 10-482-145 344 501 N PG15OH 12-854-64 345 501 N PG15OH 12-854-472 346 501 N PG15OH 12-855-194 347 501 N PG15OH 12-855-288 348 501 N PG15OH 12-855-423 349 501 N PG15OH 12-857-25 350 476 N PG15OH 12-858-346 351 501 Y T 37.2 PG15OH 12-858-443 352 501 N PG15OH 12-860-388 353 501 N PG15OH 12-861-270 354 501 N PG15OH 12-862-349 355 501 N PG15OH 12-862-365 356 501 N PG15OH 12-862-452 357 501 N PG15OH 12-866-423 358 501 Y C 46.2 PG15OH 12-867-47 359 501 N PG15OH 12-868-181 360 501 N PG15OH 12-868-198 361 501 N PG15OH 12-868-282 362 501 N PG15OH 12-869-128 363 501 N PG15OH 12-870-491 364 501 N PG15OH 12-872-52 365 501 N PG15OH 12-872-293 366 501 N PG15OH 12-873-185 367 501 N PG15OH 12-873-319 368 501 N PG15OH 12-875-248 369 501 Y G 28.8 PG15OH 12-876-265 370 501 N PG15OH 12-876-280 371 501 N PG15OH 12-876-454 372 501 N PG15OH 12-877-59 373 501 N PG15OH 12-877-69 374 501 N PG15OH 12-877-79 375 501 N PG15OH 12-878-153 376 501 N PG15OH 12-878-419 377 501 N PG15OH 12-879-67 378 501 N PG15OH 12-879-439 379 501 N PG15OH 12-881-210 380 501 N PG15OH 12-881-389 381 501 N PG15OH 12-883-273 382 501 N PG15OH 12-885-196 383 501 N PG15OH 12-885-333 384 501 N PG15OH 12-885-407 385 501 N PG15OH 12-885-410 386 501 N PG15OH 12-886-195 387 501 Y A 21.1 PG15OH 12-886-348 388 501 N PG15OH 12-887-201 389 501 N PG15OH 12-887-467 390 501 N PG15OH 12-888-98 391 501 N PG15OH 12-888-203 392 501 Y G 38.3 PG15OH 12-888-315 393 501 N PG15OH 12-889-518 394 479 N PG15OH 12-894-266 395 501 N PG15OH 12-895-391 396 501 Y C 34.6 PG15OH 12-896-140 397 501 N PG15OH 12-897-115 398 501 N PG15OH 12-897-225 399 501 N PG15OH 12-898-49 400 528 N CYP8 12-164-119 401 501 Y C 11.8 CYP8 12-168-84 402 501 Y T 20.1 CYP8 12-168-365 403 501 N CYP8 12-170-299 404 501 Y T 6.52 CYP8 12-171-360 405 501 Y T 8.70 CYP8 12-173-59 406 501 Y G 26.0 CYP8 12-175-214 407 501 Y A 10.1 CYP8 12-177-183 408 501 Y G 25.4 CYP8 12-177-366 409 501 N TAX2 10-128-45 410 45 Y T/T TAX2 10-128-63 411 63 N TAX2 10-123-177 412 177 N TAX2 10-123-402 413 402 N TAX2 10-120-137 414 136 Y A 1.60 TAX2 10-120-141 415 140 Y A 3.09 TAX2 10-179-39 416 39 N TAX2 10-180-65 417 65 Y C 44.7 TAX2 10-179-257 418 257 Y 15-LOA 10-43-124 419 123 N 15-LOA 10-43-134 420 133 N 15-LOA 10-43-193 421 192 N 15-LOA 10-43-195 422 194 N 15-LOA 10-43-233 423 232 N 15-LOA 10-43-138 424 137 Y 15-LOA 10-46-372 425 369 Y T 2.43 15-LOA 10-46-36 426 35 N 15-LOA 10-47-103 427 102 Y 15-LOA 10-47-125 428 124 Y T 5.68 15-LOA 10-48-184 429 183 Y T 28.0 15-LOA 10-48-381 430 382 Y T 31.4 15-LOA 10-49-33 431 33 Y T 14.3 15-LOA 10-39-148 432 150 Y G 14.5 15-LOA 10-40-222 433 222 Y A 47.6 15-LOA 10-40-252 434 250 N 15-LOA 10-42-354 435 354 Y 15-LOA 10-154-42 436 42 N 15-LOA 10-154-156 437 156 Y T 24.2 15-LOA 10-154-226 438 226 N 15-LOB 12-776-259 439 501 N 5-LO 10-384-109 440 501 N 5-LO 12-296-388 441 501 Y G 37.6 5-LO 10-388-379 442 501 N 5-LO 10-389-116 443 501 N 5-LO 10-389-349 444 501 N 5-LO 10-391-94 445 501 N 5-LO 12-277-147 446 501 Y T 44.9 5-LO 12-278-413 447 501 Y A 33.9 5-LO 12-288-190 448 501 N 5-LO 12-289-35 449 501 N 5-LO 12-296-119 450 501 N 5-LO 12-297-291 451 501 N 5-LO 12-298-105 452 501 N 5-LO 12-300-126 453 501 N 5-LO 12-300-410 454 501 N 5-LO 12-301-379 455 501 N 5-LO 12-302-264 456 501 N 5-LO 12-309-405 457 501 N 5-LO 12-310-105 458 501 N 5-LO 12-314-453 459 501 Y A 18.8 5-LO 12-316-292 460 501 Y C 40.8 LTA4H 10-281-314 461 501 N LTA4H 10-268-381 462 501 N LTA4H 12-54-297 463 501 Y C 9.34 LTA4H 10-276-407 464 501 N LTA4H 12-44-50 465 501 Y A 25.9 LTA4H 12-44-67 466 501 N LTA4H 12-45-145 467 501 N LTA4H 12-45-166 468 501 N LTA4H 12-45-305 469 501 N LTA4H 12-46-92 470 501 Y G 31.9 LTA4H 12-47-132 471 501 Y C 4.84 LTA4H 12-47-61 472 501 N LTA4H 12-48-100 473 501 N LTA4H 12-48-323 474 501 N LTA4H 12-48-369 475 501 N LTA4H 12-48-37 476 501 N LTA4H 12-49-131 477 501 Y A 40.1 LTA4H 12-49-53 478 501 N LTA4H 12-49-64 479 501 N LTA4H 12-51-234 480 501 Y A 43.3 LTA4H 12-51-253 481 501 N LTA4H 12-51-370 482 501 N LTA4H 12-52-400 483 501 N LTA4H 12-57-192 484 501 Y T 41.2 LTA4H 12-57-221 485 501 Y T 4.40 LTA4H 12-57-510 486 501 N LTB4H2 10-1-139 487 139 Y G 36.3 LTB4H2 10-1-212 488 212 Y T 16.3 LTB4H2 10-1-241 489 241 Y A 5.84 LTB4H2 10-9-143 490 143 Y LTB4H2 10-9-185 491 185 Y T/T LTB4H2 10-9-264 492 264 Y LTB4H2 10-11-22 493 22 N LTB4H2 10-13-152 494 152 Y T 20.8 LTB4H2 10-13-256 495 256 Y LTB4H2 10-13-282 496 282 Y C 25.0 LTB4H2 10-15-281 497 281 N LTB4H2 10-17-142 498 142 Y C/C LTB4H2 10-18-302 499 302 N LTB4H2 10-23-331 500 331 N LTB4H2 10-25-152 501 152 Y LTB4H2 10-25-258 502 258 N LTB4H2 10-3-103 503 103 Y T 47.7 LTB4H2 10-3-144 504 144 Y LTB4H2 10-3-275 505 275 Y LTB4H2 10-5-227 506 227 Y A 28.1 LTB4H2 10-7-155 507 155 Y T 30.4 LTB4H2 10-7-383 508 381 N LTB4H2 10-7-98 509 98 N LTB412OH 12-561-270 510 501 Y T 35.2 LTB412OH 12-563-87 511 501 Y C 28.0 LTB412OH 12-564-64 512 501 Y T 36.0 LTB412OH 12-564-214 513 501 N LTB412OH 12-568-207 514 501 N LTB412OH 12-568-365 515 501 N LTB412OH 12-568-367 516 501 N LTB412OH 12-571-337 517 501 Y G 17.9 LTB412OH 12-573-378 518 501 Y A 6.91 LTB412OH 10-294-256 519 501 N LTB412OH 10-294-304 520 501 N LTB412OH 10-295-201 521 501 N LTB412OH 10-296-80 522 501 N LTB412OH 10-296-373 523 501 N LTB412OH 10-298-122 524 501 N LTB412OH 10-298-158 525 501 N LTB412OH 10-300-49 526 501 N LTB412OH 10-300-185 527 501 N LTB4H3 10-10-328 528 327 Y A 12.5 LTB4H3 10-12-52 529 52 N LTB4H3 10-14-46 530 46 Y T 39.3 LTB4H3 10-19-358 531 357 Y LTB4H3 10-20-111 532 110 Y A 15.8 LTB4H3 10-20-274 533 273 Y A/A LTB4H3 10-24-90 534 90 Y C 19.2 LTB4H3 10-24-204 535 204 Y A 25.0 LTB4H3 10-24-221 536 221 N LTB4H3 10-24-234 537 234 Y A 36.1 LTB4H3 10-24-288 538 288 N LTB4H3 10-24-311 539 311 N LTB4H3 10-26-289 540 289 N LTB4H3 10-8-39 541 39 Y LTB4H3 10-8-120 542 120 N LTB4H3 10-8-154 543 154 N LTB4H3 10-8-101 544 101 Y LTB4H3 10-8-86 545 86 Y LTB4H3 10-8-92 546 92 N LTB4H3 10-8-94 547 94 N LTB4R 12-61-472 548 501 N LTB4R 12-63-402 549 416 N LTB4R 12-63-74 550 88 N LTB4R 12-64-271 551 287 Y C 28.6 LTB4R 12-65-98 552 439 N LTB4R 12-70-147 553 501 Y C 11.5 LTB4R 12-70-397 554 501 Y T 39.7 LTB4R 12-71-320 555 501 Y A 4.49 LTB4R 12-73-150 556 501 N LTB4R 12-73-49 557 501 Y A 43.3 LTB4R 12-73-56 558 501 N LTB4R 12-74-38 559 501 Y C 44.1 LTB4R 12-76-238 560 501 Y T 20.6 LTB4R 12-77-217 561 501 N LTB4R 12-77-478 562 501 Y A 4.40 LTB4R 12-80-114 563 501 N LTB4R 12-80-233 564 501 Y C 4.55 LTB4R 12-82-250 565 250 N LTC4 10-176-85 566 85 Y T 0.54 LTC4 10-176-51 567 51 N LTC4 10-176-207 568 207 N LTC4 10-176-397 569 397 Y A 1.63 LTC4 10-177-219 570 219 Y C 29.0 12-LO 12-214-85 571 85 N 12-LO 12-215-272 572 271 N 12-LO 12-221-163 573 163 N 12-LO 12-225-82 574 82 N cPLA₂ 10-234-179 575 214 Y Deletion AA 32.6 cPLA₂ 10-235-272 576 491 N ANX1 10-251-342 577 498 N ANX2 10-395-367 578 497 N ANX2 12-730-58 579 498 N ANX2 12-735-208 580 412 Y Deletion 21.5 ANX2 12-739-22 581 498 Y Insertion G 23.4 ANX3 12-540-363 582 498 N ANX3 12-550-206 583 497 N CAL2 12-207-410 584 409 N CAL3 10-171-254 585 255 N CALPA1 12-94-110 586 498 Y Deletion 32.5 AATT CALPA1 12-834-290 587 498 N COX2 10-55-115 588 114 Y Deletion 3.01 TTATA PG15OH 12-857-122 589 498 N PG15OH 12-872-175 590 498 N PG15OH 12-882-40 591 498 N PG15OH 12-888-234 592 498 N 5-LO 12-278-353 593 499 N 5-LO 12-283-386 594 498 N LTA4H 12-44-181 595 458 N ANX3 10-370-132 596 501 N ANX3 10-370-254 597 501 N 15PGDHB 10-485-256 598 501 N 15PGDHB 10-485-257 599 501 N 15PGDHB 10-474-320 600 501 N 5LO 10-387-371 601 501 N LTB412OH 12-570-239 602 501 N LTB412OH 12-570-344 603 501 N LTB412OH 12-570-393 604 501 N LTB412OH 12-570-421 605 501 N LTB412OH 12-570-62 606 502 N LTB4H3 10-4-144 607 141 N LTB4H3 10-4-161 608 158 N LTB4H3 10-4-270 609 267 N LTB4H3 10-4-340 610 337 N LTB4H3 10-4-369 611 366 N LTB4H3 10-4-420 612 417 N LTB4H2 10-13-396 613 396 N 12-LO 10-509-284 614 501 N 12-LO 10-509-295 615 501 N 12-LO 10-339-124 616 501 N 12-LO 10-340-112 617 501 N 12-LO 10-340-130 618 501 N 12-LO 10-340-238 619 501 N 12-LO 10-342-301 620 501 N 12-LO 10-342-373 621 501 N 12-LO 10-343-231 622 501 N 12-LO 10-343-278 623 501 N 12-LO 10-346-141 624 501 N G/G 12-LO 10-346-23 625 500 N 12-LO 10-346-263 626 501 N 12-LO 10-346-305 627 501 N 12-LO 10-349-216 628 501 N 12-LO 10-350-332 629 501 N 12-LO 10-350-72 630 501 N 12-LO 10-507-170 631 501 N 12-LO 10-507-321 632 501 N 12-LO 10-507-353 633 501 N 12-LO 10-507-364 634 501 N 12-LO 10-507-405 635 501 N 12-LO 10-508-191 636 501 N 12-LO 10-508-245 637 501 N 12-LO 10-510-173 638 501 N 12-LO 10-511-337 639 501 N 12-LO 10-512-36 640 501 Y C 39.4 12-LO 10-511-62 641 501 N 12-LO 10-512-318 642 501 N 12-LO 10-513-250 643 501 N 12-LO 10-513-262 644 501 N 12-LO 10-513-352 645 501 N 12-LO 10-513-365 646 501 N FLAP 10-517-100 647 501 N FLAP 10-518-125 648 501 N FLAP 10-518-194 649 501 N FLAP 10-522-71 650 501 N

TABLE 7B List of all of the eicosanoid-related biallelic markers (47mers) GENOTYPING BIALLELIC LEAST COMMON MARKER VALIDATION ALLELE BIALLELIC SEQ ID POSITION IN MICRO- FREQUENCY GENE MARKER ID NO. SEQ ID NO. SEQUENCING % FLAP 10-253-118 655 24 N FLAP 10-253-298 656 24 Y G 4.57 FLAP 10-253-315 657 24 N FLAP 10-499-155 658 24 N FLAP 10-520-256 659 24 N T 40.8 FLAP 10-500-258 660 24 N FLAP 10-500-410 661 24 N FLAP 10-503-159 662 24 N FLAP 10-504-172 663 24 N FLAP 10-504-243 664 24 N FLAP 10-204-326 665 24 Y A 6.63 FLAP 10-32-357 666 24 Y A 33.5 FLAP 10-33-175 667 24 Y T 2.30 FLAP 10-33-211 668 24 N FLAP 10-33-234 669 24 Y A 44.0 FLAP 10-33-270 670 24 Y G/G FLAP 10-33-327 671 24 Y C 24.5 FLAP 10-34-290 672 24 N FLAP 10-35-358 673 24 Y C 31.3 FLAP 10-35-390 674 24 Y T 23.0 FLAP 10-36-164 675 24 Y G/G FLAP 10-498-192 676 24 N FLAP 12-628-306 677 24 Y T 10.3 FLAP 12-628-311 678 24 N FLAP 12-629-241 679 24 Y C 28.3 12-LO 12-206-366 680 24 Y C 38.2 12-LO 10-343-339 681 24 N 12-LO 10-347-74 682 24 N 12-LO 10-347-111 683 24 N G/G 12-LO 10-347-165 684 24 N C/C 12-LO 10-347-203 685 24 Y G 41.6 12-LO 10-347-220 686 24 Y A 40.5 12-LO 10-347-271 687 24 N 12-LO 10-347-348 688 24 N 12-LO 10-348-391 689 24 N 12-LO 10-349-47 690 24 N 12-LO 10-349-97 691 24 Y G 39.6 12-LO 10-349-142 692 24 N C/C 12-LO 10-349-224 693 24 Y T 39.6 12-LO 10-349-368 694 24 N 12-LO 10-339-32 695 24 N 12-LO 10-341-116 696 24 Y A 10.8 12-LO 10-341-319 697 24 N 12-LO 12-196-119 698 24 Y C 29.1 12-LO 12-197-244 699 24 Y C 32.8 12-LO 12-198-128 700 24 N 12-LO 12-206-81 701 24 N 12-LO 12-208-35 702 24 Y A 42.3 12-LO 12-214-129 703 24 Y C 38.7 12-LO 12-214-151 704 24 N 12-LO 12-214-360 705 24 N 12-LO 12-215-467 706 24 N 12-LO 12-216-421 707 24 Y A 36.0 12-LO 12-219-230 708 24 Y G 32.1 12-LO 12-219-256 709 24 N 12-LO 12-220-48 710 24 N 12-LO 12-221-302 711 24 N 12-LO 12-223-179 712 24 N 12-LO 12-223-207 713 24 Y C 38.4 12-LO 12-225-541 714 24 Y C 37.4 12-LO 12-226-167 715 24 Y G 41.2 12-LO 12-226-458 716 24 N 12-LO 12-229-332 717 24 N 12-LO 12-229-351 718 24 N 12-LO 12-230-364 719 24 N 12-LO 12-231-100 720 24 N 12-LO 12-231-148 721 24 N 12-LO 12-231-266 722 24 N cPLA₂ 10-231-23 723 24 Y A 8.79 cPLA₂ 10-233-386 724 24 Y G 28.3 cPLA₂ 10-239-368 726 24 N cPLA₂ 10-223-30 727 24 Y G 22.5 cPLA₂ 10-223-72 728 24 N cPLA₂ 10-223-130 729 24 N cPLA₂ 10-223-262 730 24 N cPLA₂ 10-223-392 731 24 N cPLA₂ 10-224-341 732 24 N cPLA₂ 10-227-282 733 24 Y G 3.93 ANX1 10-240-241 734 24 N ANX1 10-249-185 735 24 N ANX1 10-251-128 736 24 N ANX1 10-252-209 737 24 N ANX1 12-387-32 738 24 Y G 33.9 ANX1 10-242-316 739 24 N ANX1 10-245-412 740 24 N ANX1 12-378-171 741 24 N ANX1 12-378-228 742 24 N ANX1 12-378-450 743 24 N ANX1 12-379-65 744 24 N ANX1 12-382-204 745 24 Y G 50.0 ANX1 12-383-117 746 24 N ANX1 12-383-170 747 24 N ANX1 12-383-268 748 24 N ANX1 12-384-336 749 24 N ANX1 12-384-451 750 24 N ANX1 12-385-123 751 24 N ANX1 12-385-427 752 24 N ANX1 12-386-155 753 24 Y G 8.15 ANX1 12-386-24 754 24 N ANX1 12-387-177 755 24 Y T 33.5 ANX1 12-389-431 756 24 N ANX1 12-391-366 757 24 N ANX1 12-394-85 758 24 N ANX1 12-395-382 759 24 N ANX1 12-400-217 760 24 Y G 27.2 ANX1 12-400-280 761 24 N ANX1 12-401-378 762 24 N ANX1 12-402-126 763 24 N ANX1 12-404-265 764 24 N ANX1 12-406-52 765 24 N ANX1 12-406-409 766 24 N ANX1 12-407-217 767 24 N ANX1 12-407-399 768 24 N ANX1 12-408-355 769 24 Y G 2.69 ANX1 12-409-221 770 24 N ANX1 12-410-301 771 24 N ANX2 10-395-101 772 24 N ANX2 10-395-124 773 24 N ANX2 10-395-155 774 24 N ANX2 10-395-294 775 24 N ANX2 10-396-100 776 24 N ANX2 10-397-201 777 24 N ANX2 10-399-178 778 24 N ANX2 10-400-369 779 24 N ANX2 10-392-20 780 24 N ANX2 10-392-103 781 24 N ANX2 10-392-324 782 24 N ANX2 10-393-27 783 24 N ANX2 10-393-324 784 24 N ANX2 12-727-237 785 24 N ANX2 12-728-224 786 24 N ANX2 12-730-142 787 24 N ANX2 12-730-193 788 24 N ANX2 12-731-60 789 24 N ANX2 12-731-119 790 24 N ANX2 12-731-137 791 24 N ANX2 12-731-146 792 24 N ANX2 12-731-398 793 24 N ANX2 12-732-113 794 24 N ANX2 12-732-164 795 24 N ANX2 12-732-165 796 24 Y C 27.4 ANX2 12-732-445 797 24 N ANX2 12-734-201 798 24 N ANX2 12-735-42 799 24 N ANX2 12-736-363 800 24 N ANX2 12-737-69 801 24 Y A 36.8 ANX2 12-737-296 802 24 N ANX2 12-738-429 803 24 Y T 35.5 ANX2 12-740-112 804 24 Y G 37.6 ANX2 12-740-118 805 24 N ANX2 12-741-265 806 24 N ANX2 12-741-327 807 24 N ANX2 12-741-376 808 24 N ANX2 12-745-30 809 24 N ANX2 12-745-75 810 24 N ANX2 12-745-343 811 24 N ANX2 12-745-350 812 24 N ANX2 12-746-320 813 24 N ANX2 12-747-181 814 24 N ANX2 12-747-302 815 24 N ANX2 12-749-240 816 24 N ANX2 12-749-255 817 24 N ANX2 12-752-37 818 24 N ANX2 12-752-85 819 24 N ANX2 12-752-196 820 24 N ANX2 12-752-484 821 24 N ANX2 12-753-139 822 24 N ANX2 12-753-376 823 24 N ANX2 12-754-172 824 24 N ANX2 12-754-218 825 24 N ANX2 12-754-328 826 24 N ANX2 12-754-396 827 24 N ANX2 12-755-280 828 24 N ANX2 12-757-384 829 24 N ANX2 12-758-257 830 24 N ANX2 12-758-374 831 24 N ANX2 12-758-424 832 24 N ANX2 12-761-23 833 24 N ANX2 12-761-178 834 24 N ANX2 12-764-329 835 24 N ANX2 12-764-377 836 24 N ANX2 12-765-168 837 24 N ANX2 12-765-504 838 24 N ANX3 10-372-279 839 24 N ANX3 10-375-136 840 24 N ANX3 10-376-281 841 24 N ANX3 10-369-392 842 24 N ANX3 10-371-257 843 24 N ANX3 12-513-389 844 24 N ANX3 12-513-494 845 24 N ANX3 12-515-394 846 24 N ANX3 12-516-97 847 24 Y T 37.2 ANX3 12-520-287 848 24 N ANX3 12-520-323 849 24 Y A 21.5 ANX3 12-523-179 850 24 Y A 29.9 ANX3 12{circumflex over ( )}523-270 851 24 N ANX3 12-527-367 852 24 Y T 18.9 ANX3 12-529-376 853 24 N ANX3 12-529-489 854 24 N ANX3 12-530-134 855 24 Y T 39.3 ANX3 12-530-393 856 24 N ANX3 12-531-173 857 24 Y C 37.6 ANX3 12-539-441 858 24 N ANX3 12-543-78 859 24 N ANX3 12-543-79 860 24 N ANX3 12-546-235 861 24 N ANX3 12-549-287 862 24 N ANX3 12-550-287 863 24 N ANX3 12-552-175 864 24 N ANX3 12-554-330 865 24 N ANX3 12-556-312 866 24 N ANX3 12-556-443 867 24 N ANX3 12-558-205 868 24 N ANX3 12-558-238 869 24 N ANX3 12-558-305 870 24 N ANX3 12-5769-39 871 24 N ANX3 12-769-430 872 24 N ANX3 12-770-73 873 24 N ANX3 12-772-200 874 24 N ANX3 12-772-254 875 24 N CAL1 10-87-73 876 24 N CAL1 10-87-74 877 24 N CAL1 10-87-80 878 24 N CAL1 10-87-140 879 24 N CAL1 10-88-81 880 24 Y C 44.7 CAL1 10-89-41 881 24 N CAL1 10-90-35 882 24 Y A 1.14 CAL1 10-91-274 883 24 N CAL1 10-93-133 884 24 N CAL1 10-94-197 885 24 Y G/G CAL1 10-94-198 886 24 N CAL1 10-166-362 887 24 N CAL2 10-207-386 888 24 Y C/C CAL2 10-207-409 889 24 Y G 9.04 CAL2 10-118-307 890 24 Y A 0.27 CAL2 10-173-247 891 24 N CAL2 10-173-294 892 24 Y G 2.87 CAL2 10-173-347 893 24 Y C/C CAL3 10-103-104 894 24 N CAL3 10-103-323 895 24 Y T 22.3 CAL3 10-103-402 896 24 N CAL3 10-106-98 897 24 N CAL3 10-106-288 898 24 Y CAL3 10-106-378 899 24 Y CAL3 10-168-160 900 24 Y T 42.1 CAL3 10-168-206 901 24 Y CAL3 10-168-284 902 24 N CAL3 10-169-318 903 24 N CALPA1 12-86-79 904 24 Y C 37.4 CALPA1 12-88-393 905 24 N CALPA1 12-89-369 906 24 Y G 36.3 CALPA1 12-89-91 907 24 N CALPA1 12-94-210 908 24 N CALPA1 12-94-516 909 24 N CALPA1 12-96-64 910 24 Y T 8.52 CALPA1 12-97-83 911 24 N CALPA1 12-99-296 912 24 Y T 6.45 CALPA1 12-100-266 913 24 Y G 32.2 CALPA1 12-811-174 914 24 N CALPA1 12-815-94 915 24 N CALPA1 12-815-383 916 24 N CALPA1 12-815-384 917 24 N CALPA1 12-815-391 918 24 N CALPA1 12-817-214 919 24 N CALPA1 12-817-355 920 24 N CALPA1 12-819-437 921 24 N CALPA1 12-821-62 922 24 N CALPA1 12-821-483 923 24 N CALPA1 12-825-173 924 24 N CALPA1 12-826-312 925 24 N CALPA1 12-831-59 926 24 N CALPA1 12-833-264 927 24 N CALPA1 12-833-279 928 24 N CALPA1 12-833-280 929 24 N CALPA1 12-833-373 930 24 N CALPA1 12-834-183 931 24 N CALPA1 12-835-54 932 24 N CALPA1 12-836-134 933 24 N CALPA1 12-836-237 934 24 N CALPA1 12-836-238 935 24 N CALPA1 12-836-257 936 24 N CALPA1 12-836-275 937 24 N CALPA1 12-838-179 938 24 N CALPA1 12-839-397 939 24 N CALPA1 12-840-47 940 24 N CALPA1 12-840-77 941 24 N CALPA1 12-841-445 942 24 N CALPA1 12-842-215 943 24 N CALPA1 12-842-447 944 24 N CALPA1 12-844-167 945 24 N CALPA1 12-845-364 946 24 N CALPA1 12-846-209 947 24 N CALPA1 12-847-123 948 24 N CALPA1 12-849-242 949 24 N CYP2J2 10-336-58 950 24 N CYP2J2 10-336-137 951 24 N CYP2J2 10-336-232 952 24 N CYP2J2 12-102-104 953 24 N CYP2J2 12-102-111 954 24 N CYP2J2 12-102-275 955 24 N CYP2J2 12-103-202 956 24 Y C 14.3 CYP2J2 12-103-214 957 24 N CYP2J2 12-104-351 958 24 Y T 27.4 CYP2J2 12-105-435 959 24 N CYP2J2 12-109-149 960 24 Y A 8.51 CYP2J2 12-109-197 961 24 N CYP2J2 12-109-209 962 24 N CYP2J2 12-109-284 963 24 N CYP2J2 12-113-276 964 24 Y G 31.2 CYP2J2 12-115-57 965 24 Y G 8.87 CYP2J2 12-119-26 966 24 Y G 29.8 COX1 12-347-308 967 24 N COX1 12-354-334 968 24 Y C/C COX1 12-357-140 969 24 Y C 7.14 COX1 12-361-320 970 24 Y G 18.3 COX1 12-361-388 971 24 Y A 18.5 COX1 12-365-251 972 24 Y C 18.8 COX1 12-374-261 973 24 Y T 21.3 COX1 10-308-116 974 24 N COX1 10-311-274 975 24 N COX1 10-314-76 976 24 N COX1 10-306-265 977 24 N COX2 10-52-386 978 24 N COX2 10-62-240 979 24 Y C 12.23 COX2 10-65-276 980 24 Y COX2 10-67-42 981 24 N COX2 10-67-340 982 24 Y COX2 10-55-265 983 24 Y C 40.9 COX2 10-57-278 984 24 Y COX2 10-59-176 985 24 Y COX2 10-60-114 986 24 N PGDS 10-27-176 987 24 Y A 5.32 PGDS 10-28-242 988 24 Y PGDS 10-30-349 989 24 Y A/A PGDS 10-181-42 990 24 Y C 30.2 PGDS 10-181-372 991 24 Y C 26.3 PGDS 10-183-260 992 24 N PG15OH 10-475-163 993 24 N PG15OH 12-884-203 994 24 Y T 29.7 PG15OH 10-479-266 995 24 N PG15OH 10-479-350 996 24 N PG15OH 10-479-394 997 24 N PG15OH 10-482-145 998 24 N PG15OH 12-854-64 999 24 N PG15OH 12-854-472 1000 24 N PG15OH 12-855-194 1001 24 N PG15OH 12-855-288 1002 24 N PG15OH 12-855-423 1003 24 N PG15OH 12-857-25 1004 24 N PG15OH 12-858-346 1005 24 Y T 37.2 PG15OH 12-858-443 1006 24 N PG15OH 12-860-388 1007 24 N PG15OH 12-861-270 1008 24 N PG15OH 12-862-349 1009 24 N PG15OH 12-862-365 1010 24 N PG15OH 12-862-452 1011 24 N PG15OH 12-866-423 1012 24 Y C 46.2 PG15OH 12-867-47 1013 24 N PG15OH 12-868-181 1014 24 N PG15OH 12-868-198 1015 24 N PG15OH 12-868-282 1016 24 N PG15OH 12-869-128 1017 24 N PG15OH 12-870-491 1018 24 N PG15OH 12-872-52 1019 24 N PG15OH 12-872-293 1020 24 N PG15OH 12-873-185 1021 24 N PG15OH 12-873-319 1022 24 N PG15OH 12-875-248 1023 24 Y G 28.8 PG15OH 12-876-265 1024 24 N PG15OH 12-876-280 1025 24 N PG15OH 12-876-454 1026 24 N PG15OH 12-877-59 1027 24 N PG15OH 12-877-69 1028 24 N PG15OH 12-877-79 1029 24 N PG15OH 12-878-153 1030 24 N PG15OH 12-878-419 1031 24 N PG15OH 12-879-67 1032 24 N PG15OH 12-879-439 1033 24 N PG15OH 12-881-210 1034 24 N PG15OH 12-881-389 1035 24 N PG15OH 12-883-273 1036 24 N PG15OH 12-885-196 1037 24 N PG15OH 12-885-333 1038 24 N PG15OH 12-885-407 1039 24 N PG15OH 12-885-410 1040 24 N PG15OH 12-886-195 1041 24 Y A 21.1 PG15OH 12-886-348 1042 24 N PG15OH 12-887-201 1043 24 N PG15OH 12-887-467 1044 24 N PG15OH 12-888-98 1045 24 N PG15OH 12-888-203 1046 24 Y G 38.3 PG15OH 12-888-315 1047 24 N PG15OH 12-889-518 1048 24 N PG15OH 12-894-266 1049 24 N PG15OH 12-895-391 1050 24 Y C 34.6 PG15OH 12-896-140 1051 24 N PG15OH 12-897-115 1052 24 N PG15OH 12-897-225 1053 24 N PG15OH 12-898-49 1054 24 N CYP8 12-164-119 1055 24 Y C 11.8 CYP8 12-168-84 1056 24 Y T 20.1 CYP8 12-168-365 1057 24 N CYP8 12-170-299 1058 24 Y T 6.52 CYP8 12-171-360 1059 24 Y T 8.70 CYP8 12-173-59 1060 24 Y G 26.0 CYP8 12-175-214 1061 24 Y A 10.1 CYP8 12-177-183 1062 24 Y G 25.4 CYP8 12-177-366 1063 24 N TAX2 10-128-45 1064 24 Y T/T TAX2 10-128-63 1065 24 N TAX2 10-123-177 1066 24 N TAX2 10-123-402 1067 24 N TAX2 10-120-137 1068 24 Y A 1.60 TAX2 10-120-141 1069 24 Y A 3.09 TAX2 10-179-39 1070 24 N TAX2 10-180-65 1071 24 Y C 44.7 TAX2 10-179-257 1072 24 Y 15-LOA 10-43-124 1073 24 N 15-LOA 10-43-134 1074 24 N 15-LOA 10-43-193 1075 24 N 15-LOA 10-43-195 1076 24 N 15-LOA 10-43-233 1077 24 N 15-LOA 10-43-138 1078 24 Y 15-LOA 10-46-372 1079 24 Y T 2.43 15-LOA 10-46-36 1080 24 N 15-LOA 10-47-103 1081 24 Y 15-LOA 10-47-125 1082 24 Y T 5.68 15-LOA 10-48-184 1083 24 Y T 28.0 15-LOA 10-48-381 1084 24 Y T 31.4 15-LOA 10-49-33 1085 24 Y T 14.3 15-LOA 10-39-148 1086 24 Y G 14.5 15-LOA 10-40-222 1087 24 Y A 47.6 15-LOA 10-40-252 1088 24 N 15-LOA 10-42-354 1089 24 Y 15-LOA 10-154-42 1090 24 N 15-LOA 10-154-156 1091 24 Y T 24.2 15-LOA 10-154-226 1092 24 N 15-LOB 12-776-259 1093 24 N 5-LO 10-384-109 1094 24 N 5-LO 12-296-388 1095 24 Y G 37.6 5-LO 10-388-379 1096 24 N 5-LO 10-389-116 1097 24 N 5-LO 10-389-349 1098 24 N 5-LO 10-391-94 1099 24 N 5-LO 12-277-147 1100 24 Y T 44.9 5-LO 12-278-413 1101 24 Y A 33.9 5-LO 12-288-190 1102 24 N 5-LO 12-289-35 1103 24 N 5-LO 12-296-119 1104 24 N 5-LO 12-297-291 1105 24 N 5-LO 12-298-105 1106 24 N 5-LO 12-300-126 1107 24 N 5-LO 12-300-410 1108 24 N 5-LO 12-301-379 1109 24 N 5-LO 12-302-264 1110 24 N 5-LO 12-309-405 1111 24 N 5-LO 12-310-105 1112 24 N 5-LO 12-314-453 1113 24 Y A 18.8 5-LO 12-316-292 1114 24 Y C 40.8 LTA4H 10-281-314 1115 24 N LTA4H 10-268-381 1116 24 N LTA4H 12-54-297 1117 24 Y C 9.34 LTA4H 10-276-407 1118 24 N LTA4H 12-44-50 1119 24 Y A 25.9 LTA4H 12-44-67 1120 24 N LTA4H 12-45-145 1121 24 N LTA4H 12-45-166 1122 24 N LTA4H 12-45-305 1123 24 N LTA4H 12-46-92 1124 24 Y G 31.9 LTA4H 12-47-132 1125 24 Y C 4.84 LTA4H 12-47-61 1126 24 N LTA4H 12-48-100 1127 24 N LTA4H 12-48-323 1128 24 N LTA4H 12-48-369 1129 24 N LTA4H 12-48-37 1130 24 N LTA4H 12-49-131 1131 24 Y A 40.1 LTA4H 12-49-53 1132 24 N LTA4H 12-49-64 1133 24 N LTA4H 12-51-234 1134 24 Y A 43.3 LTA4H 12-51-253 1135 24 N LTA4H 12-51-370 1136 24 N LTA4H 12-52-400 1137 24 N LTA4H 12-57-192 1138 24 Y T 41.2 LTA4H 12-57-221 1139 24 Y T 4.40 LTA4H 12-57-510 1140 24 N LTB4H2 10-1-139 1141 24 Y G 36.3 LTB4H2 10-1-212 1142 24 Y T 16.3 LTB4H2 10-1-241 1143 24 Y A 5.84 LTB4H2 10-9-143 1144 24 Y LTB4H2 10-9-185 1145 24 Y T/T LTB4H2 10-9-264 1146 24 Y LTB4H2 10-11-22 1147 24 N LTB4H2 10-13-152 1148 24 Y T 20.8 LTB4H2 10-13-256 1149 24 Y LTB4H2 10-13-282 1150 24 Y C 25.0 LTB4H2 10-15-281 1151 24 N LTB4H2 10-17-142 1152 24 Y C/C LTB4H2 10-18-302 1153 24 N LTB4H2 10-23-331 1154 24 N LTB4H2 10-25-152 1155 24 Y LTB4H2 10-25-258 1156 24 N LTB4H2 10-3-103 1157 24 Y T 47.7 LTB4H2 10-3-144 1158 24 Y LTB4H2 10-3-275 1159 24 Y LTB4H2 10-5-227 1160 24 Y A 28.1 LTB4H2 10-7-155 1161 24 Y T 30.4 LTB4H2 10-7-383 1162 24 N LTB4H2 10-7-98 1163 24 N LTB412OH 12-561-270 1164 24 Y T 35.2 LTB412OH 12-563-87 1165 24 Y C 28.0 LTB412OH 12-564-64 1166 24 Y T 36.0 LTB412OH 12-564-214 1167 24 N LTB412OH 12-568-207 1168 24 N LTB412OH 12-568-365 1169 24 N LTB412OH 12-568-367 1170 24 N LTB412OH 12-571-337 1171 24 Y G 17.9 LTB412OH 12-573-378 1172 24 Y A 6.91 LTB412OH 10-294-256 1173 24 N LTB412OH 10-294-304 1174 24 N LTB412OH 10-295-201 1175 24 N LTB412OH 10-296-80 1176 24 N LTB412OH 10-296-373 1177 24 N LTB412OH 10-298-122 1178 24 N LTB412OH 10-298-158 1179 24 N LTB412OH 10-300-49 1180 24 N LTB412OH 10-300-185 1181 24 N LTB4H3 10-10-328 1182 24 Y A 12.5 LTB4H3 10-12-52 1183 24 N LTB4H3 10-14-46 1184 24 Y T 39.3 LTB4H3 10-19-358 1185 24 Y LTB4H3 10-20-111 1186 24 Y A 15.8 LTB4H3 10-20-274 1187 24 Y A/A LTB4H3 10-24-90 1188 24 Y C 19.2 LTB4H3 10-24-204 1189 24 Y A 25.0 LTB4H3 10-24-221 1190 24 N LTB4H3 10-24-234 1191 24 Y A 36.1 LTB4H3 10-24-288 1192 24 N LTB4H3 10-24-311 1193 24 N LTB4H3 10-26-289 1194 24 N LTB4H3 10-8-39 1195 24 Y LTB4H3 10-8-120 1196 24 N LTB4H3 10-8-154 1197 24 N LTB4H3 10-8-101 1198 24 Y LTB4H3 10-8-86 1199 24 Y LTB4H3 10-8-92 1200 24 N LTB4H3 10-8-94 1201 24 N LTB4R 12-61-472 1202 24 N LTB4R 12-63-402 1203 24 N LTB4R 12-63-74 1204 24 N LTB4R 12-64-271 1205 24 Y C 28.6 LTB4R 12-65-98 1206 24 N LTB4R 12-70-147 1207 24 Y C 11.5 LTB4R 12-70-397 1208 24 Y T 39.7 LTB4R 12-71-320 1209 24 Y A 4.49 LTB4R 12-73-150 1210 24 N LTB4R 12-73-49 1211 24 Y A 43.3 LTB4R 12-73-56 1212 24 N LTB4R 12-74-38 1213 24 Y C 44.1 LTB4R 12-76-238 1214 24 Y T 20.6 LTB4R 12-77-217 1215 24 N LTB4R 12-77-478 1216 24 Y A 4.40 LTB4R 12-80-114 1217 24 N LTB4R 12-80-233 1218 24 Y C 4.55 LTB4R 12-82-250 1219 24 N LTC4 10-176-85 1220 24 Y T 0.54 LTC4 10-176-51 1221 24 N LTC4 10-176-207 1222 24 N LTC4 10-176-397 1223 24 Y A 1.63 LTC4 10-177-219 1224 24 Y C 29.0 12-LO 12-214-85 1225 24 N 12-LO 12-215-272 1226 24 N 12-LO 12-221-163 1227 24 N 12-LO 12-225-82 1228 24 N cPLA₂ 10-234-179 1229 24 Y Deletion AA 32.6 cPLA₂ 10-235-272 1230 24 N ANX1 10-251-342 1231 24 N ANX2 10-395-367 1232 24 N ANX2 12-730-58 1233 24 N ANX2 12-735-208 1234 24 Y Deletion 21.5 ANX2 12-739-22 1235 24 Y Insertion G 23.4 ANX3 12-540-363 1236 24 N ANX3 12-550-206 1237 24 N CAL2 12-207-410 1238 24 N CAL3 10-171-254 1239 24 N CALPA1 12-94-110 1240 24 Y Deletion 32.5 AATT CALPA1 12-834-290 1241 24 N COX2 10-55-115 1242 24 Y Deletion 3.01 TTATA PG15OH 12-857-122 1243 24 N PG15OH 12-872-175 1244 24 N PG15OH 12-882-40 1245 24 N PG15OH 12-888-234 1246 24 N 5-LO 12-278-353 1247 24 N 5-LO 12-283-386 1248 24 N LTA4H 12-44-181 1249 24 N ANX3 10-370-132 1250 24 N ANX3 10-370-254 1251 24 N 15PGDHB 10-485-256 1252 24 N 15PGDHB 10-485-257 1253 24 N 15PGDHB 10-474-320 1254 24 N 5LO 10-387-371 1255 24 N LTB412OH 12-570-239 1256 24 N LTB412OH 12-570-344 1257 24 N LTB412OH 12-570-393 1258 24 N LTB412OH 12-570-421 1259 24 N LTB412OH 12-570-62 1260 24 N LTB4H3 10-4-144 1261 24 N LTB4H3 10-4-161 1262 24 N LTB4H3 10-4-270 1263 24 N LTB4H3 10-4-340 1264 24 N LTB4H3 10-4-369 1265 24 N LTB4H3 10-4-420 1266 24 N LTB4H2 10-13-396 1267 24 N 12-LO 10-509-284 1268 24 N 12-LO 10-509-295 1269 24 N 12-LO 10-339-124 1270 24 N 12-LO 10-340-112 1271 24 N 12-LO 10-340-130 1272 24 N 12-LO 10-340-238 1273 24 N 12-LO 10-342-301 1274 24 N 12-LO 10-342-373 1275 24 N 12-LO 10-343-231 1276 24 N 12-LO 10-343-278 1277 24 N 12-LO 10-346-141 1278 24 N G/G 12-LO 10-346-23 1279 24 N 12-LO 10-346-263 1280 24 N 12-LO 10-346-305 1281 24 N 12-LO 10-349-216 1282 24 N 12-LO 10-350-332 1283 24 N 12-LO 10-350-72 1284 24 N 12-LO 10-507-170 1285 24 N 12-LO 10-507-321 1286 24 N 12-LO 10-507-353 1287 24 N 12-LO 10-507-364 1288 24 N 12-LO 10-507-405 1289 24 N 12-LO 10-508-191 1290 24 N 12-LO 10-508-245 1291 24 N 12-LO 10-510-173 1292 24 N 12-LO 10-511-337 1293 24 N 12-LO 10-512-36 1294 24 Y C 39.4 12-LO 10-511-62 1295 24 N 12-LO 10-512-318 1296 24 N 12-LO 10-513-250 1297 24 N 12-LO 10-513-262 1298 24 N 12-LO 10-513-352 1299 24 N 12-LO 10-513-365 1300 24 N FLAP 10-517-100 1301 24 N FLAP 10-518-125 1302 24 N FLAP 10-518-194 1303 24 N FLAP 10-522-71 1304 24 N

TABLE 8 SEQ ID BIALLELIC 1^(ST) 2^(ND) POSITION RANGE OF PREFERRED NO. MARKER ID ALLELE ALLELE SEQUENCE 1 10-253-118 A G [1-955] 2 10-253-298 G C [1-840] 3 10-253-315 C T [1-823] 4 10-499-155 A G [1-556], [898-955] 5 10-520-256 C T [1-384], [726-955] 6 10-500-258 G T [1-311], [653-955] 7 10-500-410 A G [1-160], [502-955] 8 10-503-159 G T [143-160], [388-408], [447-955] 9 10-504-172 A T [1-85], [124-792] 10 10-504-243 A C [1-15], [54-722] 19 10-35-358 G C [555-842] 23 12-628-306 G A [1-868], [904-955] 24 12-628-311 T C [1-873], [909-955] 25 12-629-241 G C [1-17], [247-658], [705-787], [882-955] 27 10-343-339 G T [487-506], [733-904] 28 10-347-74 A G [1-134], [240-487], [784-956] 35 10-348-391 A G [351-552], [682-776] 40 10-349-368 C T [416-525] 44 12-196-119 C T [1-469] 45 12-197-244 C T [153-206] 48 12-208-35 A T [1-346], [453-507] 52 12-215-467 G T [1-161], [254-499] 53 12-216-421 A G [1-486] 54 12-219-230 A G [1-485] 55 12-219-256 C T [1-485] 56 12-220-48 G A [1-577], [883-956] 57 12-221-302 A C [1-64], [265-286] 58 12-223-179 A G [1-468] 59 12-223-207 C T [1-468] 60 12-225-541 C T [1-60], [368-598] 61 12-226-167 G C [1-255], [344-508] 62 12-226-458 C T [1-255], [344-508] 63 12-229-332 G C [1-456] 64 12-229-351 G C [1-456] 65 12-230-364 C T [1-420] 66 12-231-100 C T [1-490] 67 12-231-148 C T [1-490] 68 12-231-266 C T [1-490] 72 10-239-368 C T [1-144], [373-618] 73 10-223-30 G C [1-653], [729-1001] 74 10-223-72 A G [1-612], [688-1001] 75 10-223-130 A T [1-555], [631-1001] 76 10-223-262 A G [1-424], [500-1001] 77 10-223-392 A G [1-294], [370-1001] 78 10-224-341 C T [137-176], [428-563], [920-1001] 82 10-251-128 A G [202-240], [373-415], [464-518], [581-777] 84 12-387-32 A G [1-396], [464-1001] 85 10-242-316 G C [1-350], [418-1000] 86 10-245-412 A G [367-701] 87 12-378-171 T C [1-731] 88 12-378-228 G A [1-788] 89 12-378-450 T A [1-1001] 90 12-379-65 A G [1-1001] 91 12-382-204 A G [1-1001] 92 12-383-117 A G [1-37], [246-317], [383-1001] 93 12-383-170 A G [193-264], [330-1001] 94 12-383-268 G T [95-166], [232-1001] 98 12-385-427 G T [257-826] 99 12-386-155 G T [272-682], [823-943] 100 12-386-24 C T [272-682] 101 12-387-177 C T [1-251], [319-1001] 102 12-389-431 C T [1-386], [470-583], [644-996] 103 12-391-366 C T [293-1001] 104 12-394-85 A C [1-103], [184-266], [345-1001] 105 12-395-382 A G [1-885] 108 12-401-378 A G [1-880] 109 12-402-126 C T [99-823] 110 12-404-265 A G [1-261], [314-501], [715-733], [782-817] 111 12-406-52 C T 136-952], [984-1001] 112 12-406-409 A G [1-595], [627-1001] 113 12-407-217 G C [247-673] 114 12-407-399 A T [1-491], [955-1001] 115 12-408-355 G C [80-907] 116 12-409-221 A C [1-500] 117 12-410-301 C T [111-986] 118 10-395-101 A G [1-529], [633-1001] 119 10-395-124 A G [1-539], [611-1001] 120 10-395-155 A T [1-509], [581-1001] 121 10-395-294 C T [1-371], [443-858] 122 10-396-100 A G [1-506], [635-776], [952-1001] 124 10-399-178 A G [1-142], [178-514], [632-1001] 125 10-400-369 A T [1-285], [385-513], [555-844], [878-941] 126 10-392-20 A G [75-203], [245-534], [568-631], [746-849], [898-997] 127 10-392-103 A G [1-552], [663-770], [819-1001] 128 10-392-324 G C [1-331], [442-549], [598-891], [977-1001] 129 10-393-27 G C [1-76], [187-294], [343-636], [722-1001] 130 10-393-324 A G [1-340], [423-1001] 131 12-727-237 A G [513-1001] 132 12-728-224 A G [352-507], [661-772], [862-1001] 133 12-730-142 A G [1-1001] 134 12-730-193 A G [1-1001] 135 12-731-60 C T [97-665], [711-729], [898-1001] 136 12-731-119 C T [1-606], [652-670], [839-1001] 137 12-731-137 G T [1-588], [634-652], [821-1001] 138 12-731-146 A C [1-579], [625-643], [812-1001] 139 12-731-398 C T [1-327], [373-391], [560-743], [823-1001] 140 12-732-113 A G [58-1001] 141 12-732-164 A G [1-1001] 142 12-732-165 G C [1-1001] 143 12-732-445 C T [1-935], [975-1001] 144 12-734-201 T C [161-1001] 145 12-735-42 G A [1-343], [374-566], [656-682], [731-961] 146 12-736-363 G A [1-1001] 147 12-737-69 T C [1-739] 148 12-737-296 G A [1-960] 149 12-738-429 G A [1-205], [411-1001] 150 12-740-112 A G [1-26], [144-616], [743-1001] 151 12-740-118 C T [1-20], [138-610], [737-1001] 152 12-741-265 G A [1-1001] 153 12-741-327 T A [1-1001] 154 12-741-376 G A [1-1001] 155 12-745-30 G A [1-1001] 156 12-745-75 T C [1-1001] 157 12-745-343 T G [1-1001] 158 12-745-350 C A [1-1001] 159 12-746-320 C T [1-1001] 160 12-747-181 C T [1-1001] 161 12-747-302 C T [1-1001] 164 12-752-37 G A [1-1003] 165 12-752-85 C G [1-1001] 166 12-752-196 T C [1-62], [108-1001] 167 12-752-484 T C [396-1001] 168 12-753-139 C T [1-1001] 169 12-753-376 C T [1-778], [855-1001] 170 12-754-172 C T [1-1001] 171 12-754-218 C T [1-1001] 172 12-754-328 G C [1-1001] 173 12-754-396 G T [1-1001] 174 12-755-280 G C [1-1001] 176 12-758-257 A C [1-1001] 177 12-758-374 A C [1-1001] 178 12-758-424 A G [1-1001] 179 12-761-23 G A [1-177], [253-701] 180 12-761-178 G A [1-292], [368-1001] 181 12-764-329 G A [1-1001] 182 12-764-377 G A [1-1001] 183 12-765-168 G A [1-906] 184 12-765-504 T C [1-1002] 190 12-513-389 C T [1-1001] 191 12-513-494 G C [1-999] 192 12-515-394 A T [77-950] 193 12-516-97 C T [1-744], [798-1001] 194 12-520-287 A T [179-468], [506-885] 195 12-520-323 A G [143-432], [470-849] 196 12-523-179 G A [1-291], [344-1001] 197 12-523-270 G A [1-382], [435-1001] 198 12-527-367 T A [1-496], [595-1001] 199 12-529-376 T C [279-1001] 200 12-529-489 T C [1-37], [391-1001] 201 12-530-134 A T [1-94], [166-224], [316-803] 202 12-530-393 C T [57-544], [766-1001] 203 12-531-173 C T [1-231], [414-735], [789-1001] 204 12-539-441 C T [1-1001] 205 12-543-78 G A [1-836] 206 12-543-79 C G [1-837] 207 12-546-235 C T [1-403], [492-1001] 208 12-549-287 T C [149-494] 209 12-550-287 A G [304-1001] 210 12-552-175 G A [1-750], [831-883] 211 12-554-330 G T [1-1001] 212 12-556-312 A C [1-1001] 213 12-556-443 C T [1-1001] 214 12-558-205 C G [1-1001] 215 12-558-238 T C [1-1001] 216 12-558-305 T A [1-1001] 217 12-769-39 G T [1-292], [593-624], [690-1001] 218 12-769-430 C T [202-233], [299-633] 219 12-770-73 G A [1-716] 220 12-772-200 G A [1-732], [788-1001] 221 12-772-254 T C [1-786], [842-1001] 233 10-166-362 A C 250 12-86-79 G A [70-653], [748-1001] 252 12-89-369 G C [1-51], [102-1001] 253 12-89-91 A G [1-329], [380-1000] 254 12-94-210 C T [573-588] 255 12-94-516 A T [287-302] 256 12-96-64 C A [1-630], [936-1001] 257 12-97-83 A C [1-20], [543-649], [719-916], [964-1001] 258 12-99-296 G A [1-210], [305-522], [904-1001] 259 12-100-266 T C [504-545], [927-949] 260 12-811-174 T C [1-945] 261 12-815-94 A G [1-1001] 262 12-815-383 A G [1-1001] 263 12-815-384 G C [1-1001] 264 12-815-391 C T [1-1001] 268 12-821-62 T G [1-294], [376-437], [621-887] 269 12-821-483 T G [1-48], [460-510], [664-715], [797-858] 270 12-825-173 A C [1-34], [522-1001] 273 12-833-264 T A [1-86], [216-446], [558-1001] 274 12-833-279 G A [1-101], [231-461], [573-1001] 275 12-833-280 T C [1-102], [232-462], [574-1001] 276 12-833-373 G A [1-195], [325-555], [667-1001] 277 12-834-183 A G [295-990] 278 12-835-54 A G [1-1001] 279 12-836-134 C T [84-249], [354-587], [633-1001] 280 12-836-237 A G [1-147], [252-945] 281 12-836-238 A T [1-123], [228-919] 282 12-836-257 A G [1-123], [228-919] 283 12-836-275 A C [1-108], [213-904] 284 12-838-179 A G [1-519], [718-1001] 285 12-839-397 G A [1-43], [110-1001] 286 12-840-47 C G [1-553], [659-1001] 287 12-840-77 T C [1-583], [689-1001] 288 12-841-445 G C [1-502] 291 12-844-167 T C [186-1001] 292 12-845-364 G A [1-849] 293 12-846-209 A T [1-817] 294 12-847-123 A G [1-1001] 295 12-849-242 C A [1-27], [490-658] 298 10-336-232 A G [507-1001] 299 12-102-104 A G [1-630], [712-790] 300 12-102-111 A G [1-630], [712-790] 301 12-102-275 A G [1-581], [663-741], [834-851], [891-1001] 302 12-103-202 C T [188-767] 303 12-103-214 A G [176-755] 304 12-104-351 T G [1-20], [336-402], [438-511], [911-935] 305 12-105-435 A G [1-147], [492-924] 306 12-109-149 A G [1-59], [289-607] 307 12-109-197 A G [1-59], [289-607] 308 12-109-209 A G [1-59], [289-607] 309 12-109-284 A G [1-59], [289-607] 310 12-113-276 T C [1-1001] 311 12-115-57 A G [507-1001] 312 12-119-26 T C [1-569] 314 12-354-334 G A [1-750] 315 12-357-140 C T [1-1001] 316 12-361-320 G T [1-201], [268-1001] 317 12-361-388 A G [1-133], [200-1001] 318 12-365-251 G C [1-41], [132-151], [232-622], [688-933] 319 12-374-261 G A [249-1001] 321 10-311-274 C T [125-305], [472-878] 322 10-314-76 C T [1-224], [290-535], [803-1001] 335 10-30-349 A G 340 12-884-203 C T [1-349], [464-1001] 342 10-479-350 C T [1-280], [446-1001] 343 10-479-394 A G [1-236], [402-1001] 345 12-854-64 A G [1-1001] 346 12-854-472 G T [1-1001] 347 12-855-194 T G [1-1001] 348 12-855-288 T C [1-1001] 349 12-855-423 T G [1-1001] 350 12-857-25 C T [221-985] 351 12-858-346 T C [1-1001] 352 12-858-443 G A [1-1001] 353 12-860-388 G A [1-30], [157-628], [831-1001] 354 12-861-270 C T [1-780] 355 12-862-349 A G [78-1001] 356 12-862-365 C T [62-1001] 357 12-862-452 G T [1-1000] 358 12-866-423 C T [1-434], [521-1001] 359 12-867-47 C T [81-769] 360 12-868-181 A G [306-1001] 361 12-868-198 A G [289-1001] 362 12-868-282 C T [205-1001] 363 12-869-128 A C [1-128], [908-1001] 365 12-872-52 A G [436-1001] 366 12-872-293 A G [185-1001] 367 12-873-185 T C [114-257], [288-377], [572-1001] 368 12-873-319 T A [1-139], [248-391], [422-511], [706-1001] 369 12-875-248 T C [1-408], [525-1001] 370 12-876-265 T A [1-1001] 371 12-876-280 C G [1-1001] 372 12-876-454 G A [1-1001] 373 12-877-59 C T [329-1001] 374 12-877-69 G T [319-1001] 375 12-877-79 C T [309-1001] 376 12-878-153 C T [207-937] 377 12-878-419 G T [1-629], [734-929] 378 12-879-67 G C [1-200], [261-460], [527-1001] 379 12-879-439 A G [1-89], [156-796] 380 12-881-210 A G [1-1001] 381 12-881-389 G T [1-841] 382 12-883-273 G C [1-56], [96-1001] 383 12-885-196 T C [1-1001] 384 12-885-333 C G [1-1001] 385 12-885-407 T C [1-1001] 386 12-885-410 C G [1-1001] 387 12-886-195 T C [1-815], [867-1001] 388 12-886-348 T C [1-968] 389 12-887-201 G A [1-59], [181-1001] 390 12-887-467 T C [295-325], [447-1001] 391 12-888-98 G A [1-717], [916-1001] 392 12-888-203 C A [1-822] 393 12-888-315 T G [1-1001] 394 12-889-518 G A [1-89], [280-320], [441-1001] 395 12-894-266 T C [1-1001] 396 12-895-391 G A [148-1001] 397 12-896-140 T A [60-76], [126-1001] 398 12-897-115 T C [259-557] 399 12-897-225 G A [369-667] 400 12-898-49 G A [1-283], [372-781] 401 12-164-119 T G [1-646], [979-1001] 403 12-168-365 C G [1-600] 407 12-175-214 A G [1-154], [227-317], [391-660], [747-1001] 408 12-177-183 C G [1-837], [975-1001] 409 12-177-366 C A [1-1001] 427 10-47-103 A C 428 10-47-125 A T 433 10-40-222 A G 434 10-40-252 C T 442 10-388-379 C T [1-202], [383-1001] 443 10-389-116 A G [1-538], [693-1001] 444 10-389-349 C T [1-305], [460-1001] 445 10-391-94 A G [1-259], [301-575], [691-928] 446 12-277-147 A T [1-693] 447 12-278-413 A G [1-151], [365-733], [775-1001] 448 12-288-190 G A [1-701] 449 12-289-35 A G [1-791], [946-1001] 450 12-296-119 A G [451-550] 451 12-297-291 C T [1-1001] 452 12-298-105 G A [1-162], [348-1001] 453 12-300-126 A G [1-782] 454 12-300-410 A C [1-415], [447-498] 455 12-301-379 A T [1-627], [932-1001] 456 12-302-264 G A [1-1001] 458 12-310-105 G C [293-1001] 459 12-314-453 A T [1-392], [439-558], [643-799] 460 12-316-292 C T [1-460] 461 10-281-314 G T [1-282], [453-832], [921-1001] 462 10-268-381 C T [1-197], [383-895] 463 12-54-297 C T [97-326], [404-518], [658-1001] 464 10-276-407 C T [1-97], [510-615], [954-1001] 465 12-44-50 T C [220-534], [918-1001] 466 12-44-67 T C [237-551], [935-1001] 469 12-45-305 C T [1-63], [488-816] 470 12-46-92 A G [83-1001] 471 12-47-132 C T [1-184], [457-685], [799-871], [987-1001] 472 12-47-61 C T [72-255], [528-756], [870-942] 473 12-48-100 A G [1-1001] 474 12-48-323 A G [1-747] 475 12-48-369 C T [1-682] 476 12-48-37 C T [1-1001] 477 12-49-131 T C [1-609], [677-749], [920-1001] 478 12-49-53 G A [1-531], [599-671], [842-1001] 479 12-49-64 G A [1-542], [610-682], [853-1001] 480 12-51-234 T C [1-47], [182-541], [919-1001] 481 12-51-253 C A [1-66], [201-560], [938-1001] 482 12-51-370 G A [1-182], [317-676] 483 12-52-400 G A [1-100], [404-1001] 484 12-57-192 G A [1-168], [286-752] 485 12-57-221 G A [1-197], [315-781] 486 12-57-510 C A [1-163], [251-486], [604-1010] 494 10-13-152 C T 510 12-561-270 C T [188-203], [496-642], [697-738] 511 12-563-87 C T [1-929] 512 12-564-64 G T [1-213], [381-1001] 513 12-564-214 C T [1-64], [232-1001] 514 12-568-207 G T [424-513], [613-1001] 515 12-568-365 G T [266-355], [455-1001] 516 12-568-367 G T [264-353], [453-1001] 517 12-571-337 G C [1-53], [327-897] 518 12-573-378 A G [1-335], [437-910] 519 10-294-256 G C [1-53], [327-897] 520 10-294-304 G C [279-849], [942-1001] 522 10-296-80 A G [359-397], [531-906] 523 10-296-373 A G [60-105], [239-623], [924-1001] 524 10-298-122 C T [1-565], [737-873] 525 10-298-158 A G [1-529], [701-837] 526 10-300-49 A G [285-643], [808-854] 527 10-300-185 C T [92-507], [672-718], [976-1001] 549 12-63-402 A G [1-472] 550 12-63-74 A G [1-472] 551 12-64-271 C T [1-787] 552 12-65-98 C T [112-272], [334-864] 553 12-70-147 A C [1-211], [491-1001] 554 12-70-397 C T [241-1001] 555 12-71-320 A G [1-1001] 556 12-73-150 C T [1-140], [275-607], [646-821] 557 12-73-49 A G [1-240], [375-707], [746-921] 558 12-73-56 A T [1-233], [368-700], [739-914] 559 12-74-38 G A [1-1001] 561 12-77-217 C T [1-822] 562 12-77-478 A G [1-562] 563 12-80-114 T C [1-1001] 564 12-80-233 G A [1-1001] 565 12-82-250 A T [404-454] 571 12-214-85 CCTAT — [1-101], [259-305] 572 12-215-272 T — [1-161], [254-499] 573 12-221-163 GTCCTCA T [1-64], [265-286] 574 12-225-82 T — [1-60], [368-598] 577 10-251-342 GG C [1-56], [156-301], [364-560] 578 10-395-367 A — [1-263], [367-717], [764-783] 579 12-730-58 ACAA — [162-251], [287-321], [517-767] 580 12-735-208 — Deletion [1-689], [779-805], [854-1002] 581 12-739-22 G — [1-39], [386-640], [791-1002] 582 12-540-363 T — [1-1002] 583 12-550-206 T — [380-1002] 587 12-834-290 G — [196-1002] 589 12-857-122 CTCT — [145-1002] 590 12-872-175 T — [1-41], [310-1102] 592 12-888-234 C — [1-850], [950-1002] 593 12-278-353 A — [1-208], [422-790], [832-1001] 595 12-44-181 C — [308-622], [983-1002] 602 12-570-239 T C [386, 671], [724, 727], [947, 1001] 603 12-570-344 T C [1, 51], [491, 601], [727, 776], [829, 832] 619 10-340-238 A G [231, 310], [487, 601] 620 10-342-301 Insertion — [432, 576], [605, 609], [676, 722] 621 10-342-373 C T [360, 504], [533, 537], [604, 650], [930, 1001] 625 10-346-23 A G [1, 144], [233, 274], [305, 347], [478, 592], [696, 945] 626 10-346-263 G C [1, 37], [68, 110], [241, 355], [459, 708] 627 10-346-305 C T [1, 68], [199, 313], [417, 666], [961, 1001] 629 10-350-332 C T [1, 913] 630 10-350-72 C T [1, 1001] 632 10-507-321 A C [1, 308], [440, 462], [552, 652], [711, 1000] 633 10-507-353 C T [1, 276], [408, 430], [520, 620], [679, 1000] 634 10-507-364 C T [1, 265], [397, 609], [668, 1000] 635 10-507-405 C T [1, 224], [356, 378], [468, 568], [627, 1000] 636 10-508-191 C T [1, 403], [442, 444], [491, 640], [942, 1000] 637 10-508-245 C T [1, 349], [388, 390], [463, 586], [888, 1000] 638 10-510-173 ATTTA TTTTTT [243, 380], [411, 546] 647 10-517-100 G C [1, 1000] 648 10-518-125 G T [1, 1000] 649 10-518-194 A G [1, 1000] 650 10-522-71 A G [1, 806], [844, 863], [911, 920], [950, 1000]

TABLE 9 SEQ ID BIALLELIC ORIGINAL ALTERNATIVE NO. MARKER ID ALLELE ALLELE 11 10-204-326 G A 12 10-32-357 C A 13 10-33-175 C T 14 10-33-211 C T 15 10-33-234 A C 16 10-33-270 G A 17 10-33-327 T C 18 10-34-290 G T 20 10-35-390 C T 21 10-36-164 G A 26 12-206-366 T C 29 10-347-111 G C 30 10-347-165 C T 33 10-347-271 A T 34 10-347-348 G A 36 10-349-47 T C 38 10-349-142 C G 41 10-339-32 C T 43 10-341-319 C T 46 12-198-128 G A 47 12-206-81 G A 49 12-214-129 C T 50 12-214-151 G C 51 12-214-360 G C 69 10-231-23 G A 70 10-233-386 A G 79 10-227-282 A G 80 10-240-241 A G 83 10-252-209 G A 95 12-384-336 C T 96 12-384-451 G C 97 12-385-123 C T 106 12-400-217 A G 107 12-400-280 A G 162 12-749-240 G A 163 12-749-255 G T 175 12-757-384 T C 185 10-372-279 T C 186 10-375-136 T C 187 10-376-281 A T 188 10-369-392 C T 222 10-87-73 C T 223 10-87-74 A T 224 10-87-80 A G 225 10-87-140 C T 226 10-88-81 T C 227 10-89-41 G A 228 10-90-35 G A 229 10-91-274 T G 231 10-94-197 G A 232 10-94-198 T G 234 10-207-386 C G 235 10-207-409 G C 236 10-118-307 G A 237 10-173-247 G A 238 10-173-294 A G 239 10-173-347 C T 240 10-103-104 C T 241 10-103-323 T C 242 10-103-402 C T 243 10-106-98 C A 246 10-168-160 T C 247 10-168-206 C A 248 10-168-284 T A 249 10-169-318 C A 251 12-88-393 A C 265 12-817-214 G A 266 12-817-355 T C 267 12-819-437 A G 271 12-826-312 G A 272 12-831-59 G C 289 12-842-215 T C 290 12-842-447 A G 297 10-336-137 T A 313 12-347-308 G A 320 10-308-116 C T 326 10-65-276 G A 327 10-67-42 A T 328 10-67-340 T C 331 10-59-176 C T 332 10-60-114 A G 334 10-28-242 G A 336 10-181-42 C T 337 10-181-372 C T 338 10-183-260 C G 341 10-479-266 G A 364 12-870-491 A G 402 12-168-84 A C 404 12-170-299 G A 405 12-171-360 C T 406 12-173-59 A G 410 10-128-45 T C 411 10-128-63 A G 412 10-123-177 G A 414 10-120-137 G A 415 10-120-141 C A 425 10-46-372 C T 429 10-48-184 C T 430 10-48-381 C T 431 10-49-33 C T 432 10-39-148 A G 435 10-42-354 T C 436 10-154-42 C T 437 10-154-156 C T 438 10-154-226 G A 439 12-776-259 A G 440 10-384-109 C T 441 12-296-388 A G 457 12-309-405 A G 467 12-45-145 A G 468 12-45-166 G A 487 10-1-139 G T 488 10-1-212 G T 489 10-1-241 C A 491 10-9-185 T C 492 10-9-264 C G 493 10-11-22 T C 495 10-13-256 C T 496 10-13-282 T C 497 10-15-281 T G 498 10-17-142 C T 499 10-18-302 C T 500 10-23-331 G A 501 10-25-152 T C 502 10-25-258 C T 503 10-3-103 C T 504 10-3-144 T C 505 10-3-275 G T 506 10-5-227 A C 507 10-7-155 T C 508 10-7-383 C T 509 10-7-98 G C 533 10-20-274 A G 534 10-24-90 A C 536 10-24-221 G T 546 10-8-92 T C 547 10-8-94 C T 548 12-61-472 C T 560 12-76-238 G T 566 10-176-85 C T 567 10-176-51 C T 568 10-176-207 G T 569 10-176-397 C A 570 10-177-219 A C 575 10-234-179 AA — 576 10-235-272 T — 584 10-207-410 — C 585 10-171-254 GG — 586 12-94-110 — AATT 588 10-55-115 TTATA — 591 12-882-40 A — 594 12-283-386 T — 598 10-485-256 A G 599 10-485-257 T C 600 10-474-320 Insertion A — 601 10-387-371 T C 604 12-570-393 C T 605 12-570-421 T G 606 12-570-62 Insertion TG — 607 10-4-144 C A 608 10-4-161 A C 609 10-4-270 G C 610 10-4-340 A G 611 10-4-369 C T 612 10-4-420 G T 613 10-13-396 Insertion AAT — 614 10-509-284 C T 616 10-339-124 C T 617 10-340-112 C A 618 10-340-130 T A 622 10-343-231 Insertion C — 623 10-343-278 C T 624 10-346-141 G A 628 10-349-216 Insertion CTG — 631 10-507-170 A G 639 10-511-337 Deletion — 640 10-512-36 G C 641 10-511-62 C T 642 10-512-318 G A 643 10-513-250 G A 644 10-513-262 T C 645 10-513-352 G A 646 10-513-365 G A

TABLE 10 BIALLELIC 1^(ST) 2^(ND) SEQ ID NO. MARKER ID ALLELE ALLELE 22 10-498-192 A G 31 10-347-203 A G 32 10-347-220 A G 37 10-349-97 A G 39 10-349-224 G T 42 10-341-116 A G 81 10-249-185 A G 123 10-397-201 G T 189 10-371-257 A C 230 10-93-133 C T 244 10-106-288 C T 245 10-106-378 C T 296 10-336-58 C T 323 10-306-265 A G 324 10-52-386 C T 325 10-62-240 G C 329 10-55-265 C T 330 10-57-278 C T 333 10-27-176 A G 339 10-475-163 A G 344 10-482-145 A G 413 10-123-402 A G 416 10-179-39 C T 417 10-180-65 G C 418 10-179-257 G T 426 10-46-36 T A 521 10-295-201 G T 528 10-10-328 G A 529 10-12-52 C T 530 10-14-46 C T 532 10-20-111 A C 535 10-24-204 A G 537 10-24-234 A G 538 10-24-288 A G 539 10-24-311 G C 541 10-8-39 A C 542 10-8-120 A G 543 10-8-154 G C 544 10-8-101 A T 545 10-8-86 C T 596 10-370-132 C T 597 10-370-254 C T 615 10-509-295 Insertion and Deletion

TABLE 11 Sequences that are useful for designing some of the primers and probes of the invention SEQ ID NO. POSITION RANGE OF NOVEL SEQUENCE 26 [569-588], [815-956] 29 [1-97], [203-450], [747-956] 30 [1-43], [149-396], [693-956] 31 [111-358], [655-956] 32 [94-341], [638-956] 33 [44-291], [588-956] 34 [1-214], [511-844] 36 [734-843] 37 [684-793] 38 [639-748] 39 [557-666] 41 [217-319], [721-781] 42 [1-96], [276-387], [881-956] 43 [72-184], [678-820] 46 [1-56], [193-400] 47 [855-874] 49 [1-101], [259-305] 50 [1-101], [259-305] 51 [1-101], [259-305] 79 [1-311], [512-1001] 80 [709-1001] 81 [1-231], [723-741] 83 [291-476] 95 [1-138], [532-662], [970-1001] 96 [59-254], [648-778], [918-1001] 97 [318-757] 106 [88-182], [309-461], [798-843] 107 [1-119], [246-398], [735-780] 123 [1-449], [568-1001] 162 [264-407], [801-833] 163 [249-392], [786-818] 175 [1-419] 185 [267-360], [549-599], [651-807], [851-1001] 186 [1-459], [691-1001] 187 [1-311], [557-1001] 188 [1-155], [662-1001] 189 [1-39], [554-1001] 251 [746-1001] 265 [315-445], [873-1001] 266 [174-304], [732-1001] 271 [1-173], [572-844], [884-917] 272 [1-75], [556-576] 289 [1-191] 290 [160-421] 296 [1-151], [681-1001] 297 [1-72], [602-1001] 313 [1-319] 320 [592-1001] 339 [1-24], [804-1001] 341 [1-364], [530-1001] 364 [1-270], [554-1001] 402 [1-319] 404 [1-319], [767-830] 405 [1-222], [639-1001] 439 [1-73], [608-900] 440 [1-40], [732-1001] 441 [182-281] 457 [1-315], [838-1001] 467 [1-222], [647-1001] 468 [1-201], [626-954] 521 [1-138], [281-412], [529-880] 548 [60-80] 560 [539-810] 588 [406-418] 591 [150-320], [777-824], [864-1002] 594 [300-450] 596 [196-237], [920-1001] 597 [74-115], [798-1001] 598 [557-1001] 599 [556-1001] 600 [256-267], [669-670], [833-835] 604 [1-100], [540-650], [776-825], [878-881], [969-985] 605 [1-128], [568-678], [804-853], [906-909], [997-1001] 606 [210-320], [446-495], [548-551], [771-1001] 607 [1-54] 608 [1-54] 609 [1-54] 610 [1-54] 611 [1-54] 612 [1-54] 613 [1-30], [138-179] 614 [725-814] 615 [714-803] 616 [1-252], [634-713], [890-1001] 617 [106-155], [357-436], [613-727] 618 [88-137], [339-418], [595-709] 622 [138-178], [592-638], [863-1001] 623 [91-131], [545-591], [816-1001] 624 [1-29], [118-159], [190-232], [363-477], [581-830] 628 [587-698] 631 [199-459], [591-613], [703-803], [862-1000] 641 [1-159], [190-325] 646 [1-20]

TABLE 12 Microsequencing primers COMPLEMENTARY POSITION RANGE OF POSITION RANGE OF SEQ ID MICROSEQUENCING MICROSEQUENCING NO. PRIMERS PRIMERS 1 458-477 479-498 2  459-477* 479-498 3 458-477 479-498 4 458-477 479-498 5 458-477 479-498 6 458-477 479-498 7 458-477 479-498 8 458-477 479-498 9 458-477 479-498 10 458-477 479-498 11 458-477  479-497* 12  459-477* 479-498 13  459-477* 479-498 14 458-477 479-498 15  459-477* 479-498 16  459-477* 479-498 17  459-477* 479-498 18 458-477 479-498 19  459-477* 479-498 20  459-477* 479-498 21 458-477  479-497* 22 458-477 479-498 23 458-477  479-497* 24 458-477 479-498 25  459-477* 479-498 26  459-477* 479-498 27 458-477 479-498 28 458-477 479-498 29 458-477 479-498 30 458-477 479-498 31  459-477* 479-498 32 458-477  479-497* 33 458-477 479-498 34 458-477 479-498 35 458-477 479-498 36 458-477 479-498 37 458-477  479-497* 38 458-477 479-498 39 458-477  479-497* 40 458-477 479-498 41 458-477 479-498 42 458-477  479-497* 43 458-477 479-498 44  100-118* 120-139 45  224-242* 244-263 46 108-127 129-148 47 458-477 479-498 48  16-34* 36-55 49  110-128* 130-149 50 131-150 152-171 51 338-357 359-378 52 446-465 467-486 53 398-417  419-437* 54 209-228  230-248* 55 235-254 256-275 56 458-477 479-498 57 282-301 303-322 58 159-178 180-199 59  188-206* 208-227 60  521-539* 541-560 61  147-165*  167-185* 62 435-454 456-475 63 312-331 333-352 64 331-350 352-371 65 344-363 365-384 66 79-98 100-119 67 127-146 148-167 68 245-264 266-285 69 480-499  501-519* 70 481-500  502-520* 72 481-500 502-521 73  482-500* 502-521 74 481-500 502-521 75 481-500 502-521 76 481-500 502-521 77 481-500 502-521 78 481-500 502-521 79 481-500  502-520* 80 481-500 502-521 81 481-500 502-521 82 481-500 502-521 83 481-500 502-521 84  482-500* 502-521 85 480-499 501-520 86 481-500 502-521 87 481-500 502-521 88 481-500 502-521 89 481-500 502-521 90 481-500 502-521 91  482-500* 502-521 92 481-500 502-521 93 481-500 502-521 94 481-500 502-521 95 481-500 502-521 96 481-500 502-521 97 238-257 259-278 98 481-500 502-521 99 423-442  444-462* 100 293-312 314-333 101 481-500  502-520* 102 481-500 502-521 103 481-500 502-521 104 481-500 502-521 105 365-384 386-405 106  482-500* 502-521 107 481-500 502-521 108 360-379 381-400 109 303-322 324-343 110 297-316 318-337 111 481-500 502-521 112 481-500 502-521 113 481-500 502-521 114 481-500 502-521 115  482-500* 502-521 116 209-228 230-249 117 466-485 487-506 118 481-500 502-521 119 481-500 502-521 120 481-500 502-521 121 481-500 502-521 122 481-500 502-521 123 481-500 502-521 124 481-500 502-521 125 481-500 502-521 126 477-496 498-517 127 481-500 502-521 128 481-500 502-521 129 481-500 502-521 130 481-500 502-521 131 481-500 502-521 132 481-500 502-521 133 481-500 502-521 134 481-500 502-521 135 481-500 502-521 136 481-500 502-521 137 481-500 502-521 138 481-500 502-521 139 481-500 502-521 140 481-500 502-521 141 481-500 502-521 142 481-500  502-520* 143 481-500 502-521 144 481-500 502-521 145 481-500 502-521 146 481-500 502-521 147  482-500* 502-521 148 481-500 502-521 149 481-500  502-520* 150  482-500* 502-521 151 481-500 502-521 152 481-500 502-521 153 481-500 502-521 154 481-500 502-521 155 481-500 502-521 156 481-500 502-521 157 481-500 502-521 158 481-500 502-521 159 481-500 502-521 160 481-500 502-521 161 481-500 502-521 162 481-500 502-521 163 481-500 502-521 164 488-507 509-528 165 481-500 502-521 166 481-500 502-521 167 481-500 502-521 168 481-500 502-521 169 481-500 502-521 170 481-500 502-521 171 481-500 502-521 172 481-500 502-521 173 481-500 502-521 174 481-500 502-521 175 481-500 502-521 176 481-500 502-521 177 481-500 502-521 178 481-500 502-521 179 521-540 542-561 180 481-500 502-521 181 481-500 502-521 182 481-500 502-521 183 481-500 502-521 184 481-500 502-521 185 481-500 502-521 186 481-500 502-521 187 481-500 502-521 188 481-500 502-521 189 481-500 502-521 190 481-500 502-521 191 481-500 502-521 192 481-500 502-521 193 481-500  502-520* 194 481-500 502-521 195 481-500  502-520* 196  482-500* 502-521 197 481-500 502-521 198 481-500  502-520* 199 481-500 502-521 200 481-500 502-521 201  482-500* 502-521 202 481-500 502-521 203 481-500  502-520* 204 481-500 502-521 205 481-500 502-521 206 481-500 502-521 207 481-500 502-521 208 481-500 502-521 209 481-500 502-521 210 481-500 502-521 211 481-500 502-521 212 481-500 502-521 213 481-500 502-521 214 481-500 502-521 215 481-500 502-521 216 481-500 502-521 217 481-500 502-521 218 481-500 502-521 219 481-500 502-521 220 481-500 502-521 221 481-500 502-521 222 52-71 73-92 223 53-72 74-93 224 59-78 80-99 225 118-137 139-158 226  62-80*  82-101 227 21-40 42-61 228 15-34  36-54* 229 254-273 275-294 230 113-132 134-153 231  178-196* 198-217 232 178-197 199-218 233 342-361 363-382 234  368-386* 388-407 235  390-408* 410-429 236 287-306  308-326* 237 227-246 248-267 238 274-293  295-313* 239  328-346* 348-367 240  84-103 105-124 241  304-322* 324-343 242 383-402 404-423 243 78-97  99-118 244  269-287* 289-308 245  361-379* 381-400 246  141-159* 161-180 247  187-205* 207-226 248 263-282 284-303 249 297-316 318-337 250 481-500  502-520* 251 481-500 502-521 252  482-500* 502-521 253 481-500 502-521 254 481-500 502-521 255 501-520 522-541 256  482-500* 502-521 257 481-500 502-521 258  482-500* 502-521 259  482-500* 502-521 260 481-500 502-521 261 481-500 502-521 262 481-500 502-521 263 480-499 501-520 264 481-500 502-521 265 481-500 502-521 266 481-500 502-521 267 481-500 502-521 268 481-500 502-521 269 481-500 502-521 270 481-500 502-521 271 481-500 502-521 272 481-500 502-521 273 481-500 502-521 274 481-500 502-521 275 482-501 503-522 276 481-500 502-521 277 463-482 484-503 278 481-500 502-521 279 481-500 502-521 280 480-499 501-520 281 456-475 477-496 282 478-497 499-518 283 481-500 502-521 284 481-500 502-521 285 481-500 502-521 286 481-500 502-521 287 481-500 502-521 288 425-444 446-465 289 481-500 502-521 290 479-498 500-519 291 481-500 502-521 292 481-500 502-521 293 481-500 502-521 294 481-500 502-521 295 481-500 502-521 296 481-500 502-521 297 481-500 502-521 298 481-500 502-521 299 359-378 380-399 300 366-385 387-406 301 481-500 502-521 302  482-500* 502-521 303 481-500 502-521 304 481-500  502-520* 305 419-438 440-459 306 258-277  279-297* 307 306-325 327-346 308 318-337 339-358 309 393-412 414-433 310  482-500* 502-521 311 481-500  502-520* 312  482-500* 502-521 313 481-500 502-521 314  482-500* 502-521 315 481-500  502-520* 316 481-500  502-520* 317  482-500* 502-521 318  482-500* 502-521 319  482-500* 502-521 320 481-500 502-521 321 481-500 502-521 322 481-500 502-521 323 481-500 502-521 324 366-385 387-406 325  221-239* 241-260 326 256-275  277-295* 327 22-41 43-62 328  322-340* 342-361 329  245-263* 265-284 330  259-277* 279-298 331  157-175* 177-196 332  94-113 115-134 333 156-175  177-195* 334 222-241  243-261* 335 330-349  351-369* 336  23-41* 43-62 337  355-373* 375-394 338 239-258 260-279 339 481-500 502-521 340  482-500* 502-521 341 481-500 502-521 342 481-500 502-521 343 481-500 502-521 344 481-500 502-521 345 481-500 502-521 346 481-500 502-521 347 481-500 502-521 348 481-500 502-521 349 481-500 502-521 350 456-475 477-496 351  482-500* 502-521 352 481-500 502-521 353 481-500 502-521 354 481-500 502-521 355 481-500 502-521 356 481-500 502-521 357 481-500 502-521 358  482-500* 502-521 359 481-500 502-521 360 481-500 502-521 361 481-500 502-521 362 481-500 502-521 363 481-500 502-521 364 481-500 502-521 365 481-500 502-521 366 481-500 502-521 367 481-500 502-521 368 481-500 502-521 369  482-500* 502-521 370 481-500 502-521 371 481-500 502-521 372 481-500 502-521 373 481-500 502-521 374 481-500 502-521 375 481-500 502-521 376 481-500 502-521 377 481-500 502-521 378 481-500 502-521 379 481-500 502-521 380 481-500 502-521 381 481-500 502-521 382 481-500 502-521 383 481-500 502-521 384 481-500 502-521 385 481-500 502-521 386 481-500 502-521 387  482-500* 502-521 388 481-500 502-521 389 481-500 502-521 390 481-500 502-521 391 481-500 502-521 392  482-500* 502-521 393 481-500 502-521 394 459-478 480-499 395 481-500 502-521 396 481-500  502-520* 397 481-500 502-521 398 481-500 502-521 399 481-500 502-521 400 508-527 529-548 401 481-500  502-520* 402  482-500* 502-521 403 481-500 502-521 404 481-500  502-520* 405  482-500* 502-521 406 481-500  502-520* 407 481-500  502-520* 408 481-500  502-520* 409 481-500 502-521 410  26-44* 46-65 411 43-62 64-83 412 157-176 178-197 413 382-401 403-422 414  117-135* 137-156 415  121-139* 141-160 416 19-38 40-59 417  46-64* 66-85 418 237-256  258-276* 425  350-368* 370-389 426 15-34 36-55 427  82-101 103-122 428  105-123* 125-144 429  164-182* 184-203 430 362-381 383-402 431  14-32* 34-53 432 130-149  151-169* 433 202-221  223-241* 434 230-249 251-270 435 334-353  355-373* 436 22-41 43-62 437  137-155* 157-176 438 206-225 227-246 439 481-500 502-521 440 481-500 502-521 441  482-500* 502-521 442 481-500 502-521 443 481-500 502-521 444 481-500 502-521 445 481-500 502-521 446  482-500* 502-521 447  482-500* 502-521 448 481-500 502-521 449 481-500 502-521 450 481-500 502-521 451 481-500 502-521 452 481-500 502-521 453 481-500 502-521 454 481-500 502-521 455 481-500 502-521 456 481-500 502-521 457 481-500 502-521 458 481-500 502-521 459  482-500* 502-521 460 481-500  502-520* 461 481-500 502-521 462 481-500 502-521 463  482-500* 502-521 464 481-500 502-521 465  482-500* 502-521 466 481-500 502-521 467 481-500 502-521 468 481-500 502-521 469 481-500 502-521 470 481-500  502-520* 471  482-500* 502-521 472 481-500 502-521 473 481-500 502-521 474 481-500 502-521 475 481-500 502-521 476 481-500 502-521 477  482-500* 502-521 478 481-500 502-521 479 481-500 502-521 480  483-500* 502-521 481 481-500 502-521 482 481-500 502-521 483 481-500 502-521 484 481-500  502-520* 485  482-500*  502-520* 486 481-500 502-521 487 119-138  140-158* 488 192-211  213-231* 489  222-240* 242-261 491  166-184* 186-205 492  245-263* 265-284 493  2-21 23-42 494  133-151* 153-172 495  237-255* 257-276 496  263-281* 283-302 497 261-280 282-301 498  123-141* 143-162 499 282-301 303-322 500 311-330 332-351 501  133-151* 153-172 502 238-257 259-278 503  84-102* 104-123 504  125-143* 145-164 505 255-274  276-294* 506  208-226* 228-247 507  136-154* 156-175 508 361-380 382-401 509 78-97  99-118 510 481-500  502-520* 511  482-500* 502-521 512 481-500  502-520* 513 481-500 502-521 514 481-500 502-521 515 481-500 502-521 516 481-500 502-521 517  482-500* 502-521 518  482-500* 502-521 519 481-500 502-521 520 481-500 502-521 521 481-500 502-521 522 481-500 502-521 523 481-500 502-521 524 481-500 502-521 525 481-500 502-521 526 481-500 502-521 527 481-500 502-521 528 307-326  328-346* 529 32-51 53-72 530  27-45* 47-66 532  91-109* 111-130 533 253-272  274-292* 534  71-89*  91-110 535 184-203  205-223* 536 201-220 222-241 537 214-233  235-253* 538 268-287 289-308 539 291-310 312-331 541  20-38* 40-59 542 100-119 121-140 543 134-153 155-174 544  81-100  102-119* 545  67-85*  87-106 546 72-91  93-112 547 74-93  95-114 548 481-500 502-521 549 396-415 417-436 550 68-87  89-108 551  268-286* 288-307 552 419-438 440-459 553  482-500* 502-521 554  482-500* 502-521 555 481-500  502-520* 556 481-500 502-521 557  482-500* 502-521 558 481-500 502-521 559 481-500  502-520* 560 481-500  502-520* 561 481-500 502-521 562 481-500  502-520* 563 481-500 502-521 564 481-500  502-520* 565 230-249 251-270 566  66-84*  86-105 567 31-50 52-71 568 187-206 208-227 569  378-396*  398-416* 570  200-218* 220-239 571 65-84 — 572 251-270 — 573 143-162 — 574 62-81 — 575  195-213* — 576 471-490 — 577 478-497 — 578 477-496 — 579 478-497 — 580 —  459-477* 581 —  498-516* 582 478-497 — 583 477-496 — 584 389-408 — 585 235-254 — 586  479-497* — 587 478-497 — 588  95-113* — 589 478-497 — 590 478-497 — 591 478-497 — 592 478-497 — 593 479-498 — 594 478-497 — 595 438-457 — 596 481-500 502-521 597 481-500 502-521 598 481-500 502-521 599 481-500 502-521 600 481-500 — 601 481-500 502-521 602 481-500 502-521 603 481-500 502-521 604 481-500 502-521 605 481-500 502-521 606 — 503-522 607 121-140 142-161 608 138-157 159-178 609 247-266 268-287 610 317-336 338-357 611 346-365 367-386 612 397-416 418-437 613 374-395 — 614 481-500 502-521 615 481-500 — 616 481-500 502-521 617 481-500 502-521 618 481-500 502-521 619 481-500 502-521 620 481-500 — 621 481-500 502-521 622 481-500 — 623 481-500 502-521 624 481-500  502-520* 625 480-499 501-520 626 481-500 502-521 627 481-500 502-521 628 481-500 — 629 481-500 502-521 630 481-500 502-521 631 481-500 502-521 632 481-500 502-521 633 481-500 502-521 634 481-500 502-521 635 481-500 502-521 636 481-500 502-521 637 481-500 502-521 638 481-500 — 639 481-500 — 640 481-500 502-521 641 481-500 502-521 642 481-500 502-521 643 481-500 502-521 644 481-500 502-521 645 481-500 502-521 646 481-500 502-521 647 481-500 502-521 648 481-500 502-521 649 481-500 502-521 650 481-500 502-521

TABLE 13 Amplification primers COMPLEMENTARY POSITION POSITION RANGE OF RANGE OF SEQ ID AMPLIFICATION AMPLIFICATION NO. PRIMERS PRIMERS 1 361-379 761-780 2 181-199 581-600 3 164-182 564-583 4 324-343 536-553 5 294-310 743-760 6 221-237 670-687 7 70-86 519-536 8 326-343 760-780 9 307-324 557-575 10 237-254 487-505 11 153-170 590-607 12 121-139 522-541 13 304-322 705-723 14 268-286 669-687 15 245-263 646-664 16 209-227 610-628 17 152-170 553-571 18 189-206 525-542 19 120-137 526-543 20  88-105 494-511 21 315-334 741-760 22 287-306 621-638 23 266-286 764-782 24 271-291 769-787 25 238-257 617-637 26 222-239 635-654 27 140-157 553-572 28 405-422 826-845 29 368-385 789-808 30 314-331 735-754 31 276-293 697-716 32 259-276 680-699 33 209-226 630-649 34 132-149 553-572 35  90-109 488-507 36 432-451 829-848 37 382-401 779-798 38 337-356 734-753 39 255-274 652-671 40 114-133 511-530 41 447-464 845-864 42 363-380 771-789 43 160-177 568-586 44  1-20 450-469 45  1-19 380-399 46  1-20 380-400 47 398-415 835-854 48  1-21 487-507 49  1-20 429-448 50  1-20 429-448 51  1-20 429-448 52  1-20 479-499 53  1-20 467-486 54  1-20 465-485 55  1-20 465-485 56 76-96 505-525 57  1-21 387-407 58  1-20 449-468 59  1-20 449-468 60  1-19 581-598 61  1-19 490-508 62  1-19 490-508 63  1-21 437-456 64  1-21 437-456 65  1-20 401-420 66  1-19 470-490 67  1-19 470-490 68  1-19 470-490 69 478-495 879-898 70 119-137 540-557 72 138-157 538-556 73 472-490 900-917 74 431-449 859-876 75 374-392 802-819 76 243-261 671-688 77 113-131 541-558 78 161-179 561-580 79 220-238 620-638 80 261-279 595-614 81 317-335 720-738 82 374-393 732-751 83 293-312 701-720 84 470-488 901-921 85 185-203 590-609 86  90-107 509-528 87  83-103 652-671 88 140-160 709-728 89 361-381 930-949 90 437-456 885-905 91 298-318 727-747 92 385-404 832-852 93 332-351 779-799 94 234-253 681-701 95 347-367 816-836 96 463-483 932-952 97 136-155 591-611 98 75-94 530-550 99 290-310 669-688 100 290-310 669-688 101 325-343 756-776 102 71-90 503-519 103 136-154 571-590 104 417-435 930-949 105  5-23 530-549 106 285-304 749-769 107 222-241 686-706 108  4-22 446-466 109 198-218 634-654 110 53-70 504-523 111 450-468 881-899 112  93-111 524-542 113 285-303 746-766 114 103-121 564-584 115 147-165 587-607 116  9-29 435-455 117 187-206 636-656 118 406-425 797-816 119 384-403 775-794 120 354-373 745-764 121 216-235 607-626 122 402-420 735-752 123 301-319 707-724 124 324-341 618-635 125 134-153 533-552 126 478-495 906-924 127 399-416 827-845 128 178-195 606-624 129 475-493 879-896 130 179-197 583-600 131 265-284 694-714 132 277-295 720-740 133 360-378 867-887 134 309-327 816-836 135 442-462 898-918 136 383-403 839-859 137 365-385 821-841 138 356-376 812-832 139 104-124 560-580 140 389-408 879-898 141 338-357 828-847 142 337-356 827-846 143 57-76 547-566 144 301-320 682-701 145 10-30 524-542 146 386-406 844-862 147 47-67 547-566 148 268-288 768-787 149 478-498 903-922 150 391-410 828-846 151 385-404 822-840 152 316-336 745-765 153 378-398 807-827 154 427-447 856-876 155 67-86 512-530 156 112-131 557-575 157 380-399 825-843 158 387-406 832-850 159 183-201 672-692 160 321-340 767-787 161 200-219 646-666 162 262-281 761-780 163 247-266 746-765 164  1-21 527-544 165 42-62 568-585 166 153-173 679-696 167 441-461 967-984 168 364-382 900-920 169 127-145 663-683 170 330-349 769-788 171 284-303 723-742 172 176-195 615-634 173 110-129 549-568 174 222-242 688-708 175 118-135 628-647 176 245-264 749-768 177 128-147 632-651 178 79-98 583-602 179  1-21 545-563 180 116-136 660-678 181 355-373 811-828 182 403-421 859-876 183 74-94 649-668 184 408-428  983-1002 185 224-242 627-646 186 366-385 765-784 187 221-239 646-665 188 111-129 512-531 189 246-263 661-679 190 114-133 610-627 191  9-28 505-522 192 107-126 537-557 193 405-424 891-911 194 216-234 653-673 195 180-198 617-637 196 129-149 661-678 197 220-240 752-769 198 352-372 849-867 199 349-369 856-875 200 461-481 968-987 201 369-389 798-817 202 110-130 539-558 203 329-346 723-741 204 62-79 567-587 205 130-150 558-578 206 131-151 559-579 207 267-284 795-815 208 304-324 770-787 209 216-234 712-731 210 188-207 659-674 211 172-192 645-663 212 194-214 674-693 213 63-83 543-562 214 236-256 687-705 215 268-288 719-737 216 335-355 786-804 217 463-482 899-918 218 72-91 508-527 219 115-135 555-573 220 236-256 681-700 221 290-310 735-754 222  1-18 345-362 223  1-18 345-362 224  1-18 345-362 225  1-18 345-362 226  1-18 349-368 227  1-19 401-420 228  1-18 409-427 229  1-18 402-420 230  1-19 407-426 231  1-19 403-420 232  1-19 403-420 233  1-18 363-380 234  1-12 444-464 235  1-12 444-464 236  1-18 343-361 237  1-19 418-435 238  1-19 418-435 239  1-19 418-435 240  1-19 420-439 241  1-19 420-439 242  1-19 420-439 243  1-19 406-424 244  1-19 406-424 245  1-19 406-424 246  1-18 354-371 247  1-18 354-371 248  1-18 354-371 249  1-20 408-425 250 130-149 562-579 251 444-464 875-894 252 133-151 564-584 253 411-429 842-862 254 292-312 819-839 255  6-26 533-553 256 101-121 547-564 257 419-437 866-886 258 347-366 776-796 259 253-273 749-768 260 127-146 656-675 261 408-428 849-859 262 119-139 560-570 263 118-138 559-569 264 111-131 552-562 265 288-307 791-810 266 147-166 650-669 267 65-84 527-546 268 17-37 542-562 269 438-458 963-983 270 329-347 774-794 271 337-357 792-811 272  92-112 540-559 273 315-335 746-764 274 330-350 761-779 275 331-351 762-780 276 424-444 855-873 277 306-326 737-757 278 449-468 879-898 279 368-386 909-929 280 266-284 807-827 281 242-260 783-803 282 242-260 783-803 283 227-245 768-788 284 323-342 895-915 285 448-468 877-897 286  98-118 527-547 287 128-148 557-577 288  1-21 483-502 289 248-268 697-715 290 478-498 927-945 291 245-265 649-667 292 415-435 843-863 293 294-312 786-796 294 379-397 835-855 295 293-312 723-742 296 444-462 845-863 297 365-383 766-784 298 270-288 671-689 299 276-296 733-753 300 276-296 733-753 301 227-247 684-704 302 301-318 733-751 303 289-306 721-739 304 373-393 831-851 305  5-23 442-462 306 130-148 577-597 307 130-148 577-597 308 130-148 577-597 309 130-148 577-597 310 288-307 756-775 311 445-463 901-921 312 41-61 509-526 313 195-213 636-656 314 307-327 816-834 315 362-381 794-814 316 182-200 677-696 317 114-132 609-628 318 252-270 697-717 319 262-280 741-761 320 386-403 754-771 321 228-245 632-651 322 426-443 827-846 323 238-255 660-678 324  1-18 412-429 325  1-20 419-438 326  1-19 408-425 327  2-20 403-422 328  2-20 403-422 329  1-17 405-418 330  1-19 410-429 331  1-19 401-420 332  1-20 409-428 333  1-18 290-307 334  3-20 410-429 335  1-18 368-385 336  1-18 424-443 337  1-18 424-443 338  1-18 430-447 339 340-358 739-758 340 299-317 817-837 341 236-253 638-657 342 152-169 554-573 343 108-125 510-529 344 357-374 779-798 345 438-457 942-962 346 30-49 534-554 347 234-254 674-694 348 328-348 768-788 349 463-483 903-923 350 452-471 965-985 351 371-391 827-846 352 468-488 924-943 353 367-387 866-885 354 232-251 668-688 355 153-171 607-626 356 137-155 591-610 357 50-68 504-523 358 79-98 589-609 359 455-474 898-918 360 322-340 789-809 361 305-323 772-792 362 221-239 688-708 363 374-394 813-833 364 11-31 528-548 365 450-470 893-911 366 209-229 652-670 367 151-169 667-685 368 285-303 801-819 369 251-271 727-747 370 242-261 745-765 371 257-276 760-780 372 431-450 934-954 373 443-462 875-895 374 433-452 865-885 375 423-442 855-875 376 349-369 839-859 377  83-103 573-593 378 435-453 951-971 379 64-82 580-600 380 292-311 723-743 381 113-132 544-564 382 229-248 674-694 383 235-255 677-696 384 372-392 814-833 385 446-466 888-907 386 449-469 891-910 387 246-266 674-694 388 399-419 827-847 389 184-204 683-701 390 450-470 949-967 391 148-168 578-598 392 253-273 683-703 393 365-385 795-815 394 426-445 976-995 395 309-329 745-765 396 348-368 870-889 397 138-158 622-640 398 106-126 595-615 399 216-236 705-725 400  6-26 558-576 401 116-134 600-619 402 105-125 566-584 403 386-406 847-865 404 296-315 781-799 405 142-160 521-541 406 443-460 901-921 407 287-306 765-785 408 217-236 664-683 409 399-418 846-865 410  1-20 349-366 411  1-20 349-366 412  1-18 412-429 413  1-18 412-429 414  1-16 333-349 415  1-16 333-349 416  1-18 400-420 417  1-18 407-424 418  1-18 400-420 425  1-18 398-417 426  1-18 398-417 427  1-20 404-423 428  1-20 404-423 429  1-18 403-421 430  1-18 403-421 431  1-19 402-419 432  1-20 405-422 433  1-18 335-352 434  1-18 335-352 435  1-18 413-432 436  1-19 283-300 437  1-19 283-300 439 243-263 674-692 440 393-412 802-819 441 114-134 543-563 442 123-141 542-561 443 386-403 792-809 444 153-170 559-576 445 409-426 821-838 446 355-374 783-803 447  90-109 600-620 448 199-219 670-690 449 467-486 915-935 450 383-403 812-832 451 211-229 688-707 452 33-53 586-605 453 376-395 840-860 454  92-111 556-576 455 124-142 553-573 456 286-306 745-764 457 456-475 884-904 458 397-415 826-845 459 49-67 536-556 460 210-229 679-698 461 188-207 600-617 462 121-138 521-540 463 210-228 647-667 464  95-113 511-530 465 147-166 530-550 466 164-183 547-567 467 357-375 804-824 468 336-354 783-803 469 198-216 645-665 470 410-429 792-811 471 370-388 756-776 472 441-459 827-847 473 403-421 904-921 474 180-198 681-698 475 134-152 635-652 476 466-484 967-984 477 180-200 613-630 478 102-122 535-552 479 113-133 546-563 480 329-347 717-734 481 348-366 736-753 482 464-482 852-869 483 451-471 881-900 484 151-168 672-692 485 180-197 701-721 486 469-486  990-1010 487  1-20 429-448 488  1-20 429-448 489  1-20 429-448 491  1-18 332-351 492  1-18 332-351 493  1-18 402-421 494  1-19 402-420 495  1-19 402-420 496  1-19 402-420 497  1-20 409-428 498  1-20 413-431 499  1-19 403-422 500  1-19 427-446 501  1-18 408-427 502  1-18 408-427 503  1-19 411-430 504  1-19 411-430 505  1-19 411-430 506  1-20 404-421 507  1-20 399-418 508  1-20 399-418 509  1-20 399-418 510 232-252 703-723 511 415-433 862-882 512 438-456 920-940 513 289-307 771-791 514 295-313 812-829 515 137-155 654-671 516 135-153 652-669 517 165-183 647-667 518 124-144 590-610 519 246-264 650-669 520 198-216 602-621 521 301-320 701-720 522 423-440 833-850 523 131-148 541-558 524 384-401 806-825 525 348-365 770-789 526 453-470 802-820 527 317-334 666-684 528  1-20 414-433 529  1-18 330-349 530  1-18 414-431 532  1-19 400-419 533  1-19 400-419 534  1-20 416-435 535  1-20 416-435 536  1-20 416-435 537  1-20 416-435 538  1-20 416-435 539  1-20 416-435 541  1-20 427-446 542  1-20 427-446 543  1-20 427-446 544  1-20 427-446 545  1-20 427-446 546  1-20 427-446 547  1-20 427-446 548 39-57 548-568 549 15-35 445-464 550 15-35 445-464 551 19-38 407-425 552 342-360 777-797 553 355-374 784-804 554 105-124 534-554 555 187-206 703-721 556 353-370 799-818 557 453-470 899-918 558 446-463 892-911 559  88-106 519-538 560 264-283 671-689 561 288-306 772-792 562 28-46 512-532 563 101-121 595-614 564 220-240 714-733 565  1-21 436-454 566  1-18 404-423 567  1-18 404-423 568  1-18 404-423 569  1-18 404-423 570  1-18 400-419 571  1-20 429-448 572  1-20 479-499 573  1-21 387-407 574  1-19 581-598 575 36-56 346-366 576 220-237 553-571 577 157-176 515-534 578 140-159 531-550 579 441-459 948-968 580 133-153 647-665 581 476-494 907-927 582 425-445 939-957 583 292-310 788-807 584  1-18 443-463 585  1-19 333-351 586 389-409 916-936 587 207-227 638-658 588  1-19 401-418 589 376-395 889-909 590 324-344 767-785 591 459-478 904-924 592 281-301 711-731 593 147-166 657-677 594 114-132 547-567 595 235-254 618-638 596 371-389 772-791 597 249-267 650-669 598 246-264 652-669 599 245-263 651-668 600 182-199 590-609 601 131-149 535-552 602 255-274 719-738 603 360-379 824-843 604 409-428 873-892 605 437-456 901-920 606 79-98 543-562 607  1-18 427-444 608  1-18 427-444 609  1-18 427-444 610  1-18 427-444 611  1-18 427-444 613  1-19 402-420 614 218-235 618-637 615 207-224 607-626 616 379-396 776-795 617 390-408 791-809 618 372-390 773-791 619 264-282 665-683 620 201-220 606-623 621 129-148 534-551 622 271-288 684-703 623 224-241 637-656 624 363-381 763-780 625 478-496 878-895 626 241-259 641-658 627 199-217 599-616 628 286-305 683-702 629 172-189 513-532 630 430-447 771-790 631 332-350 739-758 632 181-199 588-607 633 149-167 556-575 634 138-156 545-564 635  97-115 504-523 636 311-328 727-746 637 257-274 673-692 638 329-347 729-748 639 165-182 569-587 640 147-164 551-569 641 440-457 844-862 642 184-203 607-626 643 252-269 660-677 644 240-257 648-665 645 150-167 558-575 646 137-154 545-562 647 402-420 722-740 648 378-396 630-648 649 309-327 561-579 650 431-449 885-903

TABLE 14 Preferred probes useful in genotyping eicosanoid-related biallelic markers by hybridization assays. SEQ ID POSITION RANGE OF NO. PROBES 1 466-490 2 466-490 3 466-490 4 466-490 5 466-490 6 466-490 7 466-490 8 466-490 9 466-490 10 466-490 11 466-490 12 466-490 13 466-490 14 466-490 15 466-490 16 466-490 17 466-490 18 466-490 19 466-490 20 466-490 21 466-490 22 466-490 23 466-490 24 466-490 25 466-490 26 466-490 27 466-490 28 466-490 29 466-490 30 466-490 31 466-490 32 466-490 33 466-490 34 466-490 35 466-490 36 466-490 37 466-490 38 466-490 39 466-490 40 466-490 41 466-490 42 466-490 43 466-490 44 107-131 45 231-255 46 116-140 47 466-490 48 23-47 49 117-141 50 139-163 51 346-370 52 454-478 53 406-430 54 217-241 55 243-267 56 466-490 57 290-314 58 167-191 59 195-219 60 528-552 61 154-178 62 443-467 63 320-344 64 339-363 65 352-376 66  87-111 67 135-159 68 253-277 69 488-512 70 489-513 72 489-513 73 489-513 74 489-513 75 489-513 76 489-513 77 489-513 78 489-513 79 489-513 80 489-513 81 489-513 82 489-513 83 489-513 84 489-513 85 488-512 86 489-513 87 489-513 88 489-513 89 489-513 90 489-513 91 489-513 92 489-513 93 489-513 94 489-513 95 489-513 96 489-513 97 246-270 98 489-513 99 431-455 100 301-325 101 489-513 102 489-513 103 489-513 104 489-513 105 373-397 106 489-513 107 489-513 108 368-392 109 311-335 110 305-329 111 489-513 112 489-513 113 489-513 114 489-513 115 489-513 116 217-241 117 474-498 118 489-513 119 489-513 120 489-513 121 489-513 122 489-513 123 489-513 124 489-513 125 489-513 126 485-509 127 489-513 128 489-513 129 489-513 130 489-513 131 489-513 132 489-513 133 489-513 134 489-513 135 489-513 136 489-513 137 489-513 138 489-513 139 489-513 140 489-513 141 489-513 142 489-513 143 489-513 144 489-513 145 489-513 146 489-513 147 489-513 148 489-513 149 489-513 150 489-513 151 489-513 152 489-513 153 489-513 154 489-513 155 489-513 156 489-513 157 489-513 158 489-513 159 489-513 160 489-513 161 489-513 162 489-513 163 489-513 164 496-520 165 489-513 166 489-513 167 489-513 168 489-513 169 489-513 170 489-513 171 489-513 172 489-513 173 489-513 174 489-513 175 489-513 176 489-513 177 489-513 178 489-513 179 529-553 180 489-513 181 489-513 182 489-513 183 489-513 184 489-513 185 489-513 186 489-513 187 489-513 188 489-513 189 489-513 190 489-513 191 489-513 192 489-513 193 489-513 194 489-513 195 489-513 196 489-513 197 489-513 198 489-513 199 489-513 200 489-513 201 489-513 202 489-513 203 489-513 204 489-513 205 489-513 206 489-513 207 489-513 208 489-513 209 489-513 210 489-513 211 489-513 212 489-513 213 489-513 214 489-513 215 489-513 216 489-513 217 489-513 218 489-513 219 489-513 220 489-513 221 489-513 222 60-84 223 61-85 224 67-91 225 126-150 226 69-93 227 29-53 228 23-47 229 262-286 230 121-145 231 185-209 232 186-210 233 350-374 234 375-399 235 397-421 236 295-319 237 235-259 238 282-306 239 335-359 240  92-116 241 311-335 242 391-415 243  86-110 244 276-300 245 368-392 246 148-172 247 194-218 248 271-295 249 305-329 250 489-513 251 489-513 252 489-513 253 489-513 254 489-513 255 509-533 256 489-513 257 489-513 258 489-513 259 489-513 260 489-513 261 489-513 262 489-513 263 488-512 264 489-513 265 489-513 266 489-513 267 489-513 268 489-513 269 489-513 270 489-513 271 489-513 272 489-513 273 489-513 274 489-513 275 490-514 276 489-513 277 471-495 278 489-513 279 489-513 280 488-512 281 464-488 282 486-510 283 489-513 284 489-513 285 489-513 286 489-513 287 489-513 288 433-457 289 489-513 290 487-511 291 489-513 292 489-513 293 489-513 294 489-513 295 489-513 296 489-513 297 489-513 298 489-513 299 367-391 300 374-398 301 489-513 302 489-513 303 489-513 304 489-513 305 427-451 306 266-290 307 314-338 308 326-350 309 401-425 310 489-513 311 489-513 312 489-513 313 489-513 314 489-513 315 489-513 316 489-513 317 489-513 318 489-513 319 489-513 320 489-513 321 489-513 322 489-513 323 489-513 324 374-398 325 228-252 326 264-288 327 30-54 328 329-353 329 252-276 330 266-290 331 164-188 332 102-126 333 164-188 334 230-254 335 338-362 336 30-54 337 362-386 338 247-271 339 489-513 340 489-513 341 489-513 342 489-513 343 489-513 344 489-513 345 489-513 346 489-513 347 489-513 348 489-513 349 489-513 350 464-488 351 489-513 352 489-513 353 489-513 354 489-513 355 489-513 356 489-513 357 489-513 358 489-513 359 489-513 360 489-513 361 489-513 362 489-513 363 489-513 364 489-513 365 489-513 366 489-513 367 489-513 368 489-513 369 489-513 370 489-513 371 489-513 372 489-513 373 489-513 374 489-513 375 489-513 376 489-513 377 489-513 378 489-513 379 489-513 380 489-513 381 489-513 382 489-513 383 489-513 384 489-513 385 489-513 386 489-513 387 489-513 388 489-513 389 489-513 390 489-513 391 489-513 392 489-513 393 489-513 394 467-491 395 489-513 396 489-513 397 489-513 398 489-513 399 489-513 400 516-540 401 489-513 402 489-513 403 489-513 404 489-513 405 489-513 406 489-513 407 489-513 408 489-513 409 489-513 410 33-57 411 51-75 412 165-189 413 390-414 414 124-148 415 128-152 416 27-51 417 53-77 418 245-269 425 357-381 426 23-47 427  90-114 428 112-136 429 171-195 430 370-394 431 21-45 432 138-162 433 210-234 434 238-262 435 342-366 436 30-54 437 144-168 438 214-238 439 489-513 440 489-513 441 489-513 442 489-513 443 489-513 444 489-513 445 489-513 446 489-513 447 489-513 448 489-513 449 489-513 450 489-513 451 489-513 452 489-513 453 489-513 454 489-513 455 489-513 456 489-513 457 489-513 458 489-513 459 489-513 460 489-513 461 489-513 462 489-513 463 489-513 464 489-513 465 489-513 466 489-513 467 489-513 468 489-513 469 489-513 470 489-513 471 489-513 472 489-513 473 489-513 474 489-513 475 489-513 476 489-513 477 489-513 478 489-513 479 489-513 480 489-513 481 489-513 482 489-513 483 489-513 484 489-513 485 489-513 486 489-513 487 127-151 488 200-224 489 229-253 491 173-197 492 252-276 493 10-34 494 140-164 495 244-268 496 270-294 497 269-293 498 130-154 499 290-314 500 319-343 501 140-164 502 246-270 503  91-115 504 132-156 505 263-287 506 215-239 507 143-167 508 369-393 509  86-110 510 489-513 511 489-513 512 489-513 513 489-513 514 489-513 515 489-513 516 489-513 517 489-513 518 489-513 519 489-513 520 489-513 521 489-513 522 489-513 523 489-513 524 489-513 525 489-513 526 489-513 527 489-513 528 315-339 529 40-64 530 34-58 532  98-122 533 261-285 534  78-102 535 192-216 536 209-233 537 222-246 538 276-300 539 299-323 541 27-51 542 108-132 543 142-166 544  89-113 545 74-98 546  80-104 547  82-106 548 489-513 549 404-428 550  76-100 551 275-299 552 427-451 553 489-513 554 489-513 555 489-513 556 489-513 557 489-513 558 489-513 559 489-513 560 489-513 561 489-513 562 489-513 563 489-513 564 489-513 565 238-262 566 73-97 567 39-63 568 195-219 569 385-409 570 207-231 596 489-513 597 489-513 598 489-513 599 489-513 601 489-513 602 489-513 603 489-513 604 489-513 605 489-513 607 129-153 608 146-170 609 255-279 610 325-349 611 354-378 612 405-429 614 489-513 616 489-513 617 489-513 618 489-513 619 489-513 621 489-513 623 489-513 624 489-513 625 488-512 626 489-513 627 489-513 629 489-513 630 489-513 631 489-513 632 489-513 633 489-513 634 489-513 635 489-513 636 489-513 637 489-513 640 489-513 641 489-513 642 489-513 643 489-513 644 489-513 645 489-513 646 489-513 647 489-513 648 489-513 649 489-513 650 489-513

TABLE 15 HAPLOTYPE FREQUENCY ANALYSIS MARKERS FLAP cases/controls 10-253-298 10-33-175 10-33-234 10-33-327 10-35-358 10-35-390 12-628-306 12-629-241 freq % 5′ gene exon 2 intron 2 intron 4 3′ gene case/controls 287/186 295/174 295/274 295/270 291/280 295/272 284/185 283/182 diff. freq. all. 95/95 (C) 99/98 (C) 49/44 (A) 78/76 (T) 72/69 (G) 31/23 (C) 88/90 (C) 76/72 (G) (cases - controls) 0.5 1.8 5.3 2.6 3.4 9 2.1 4.6 pvalue 6.55E−01 1.35E−02 6.93E−02 2.94E−01 2.06E−01 2.29E−03 3.17E−01 1.14E−01 1 293 vs 265 A T 2 281 vs 177 A G 3 293 vs 261 T T 4 289 vs 271 G T 5 293 vs 168 C T 6 293 vs 265 A T 7 282 vs 178 T G 37 281 vs 176 A T C 38 280 vs 173 A T G 39 289 vs 264 A G T 40 278 vs 175 A C G 41 284 vs 176 C A T 121 277 vs 171 A T C G 122 278 vs 173 A G T G 123 279 vs 176 A G T C 124 276 vs 175 A G C G 125 280 vs 174 C A T C 247 275 vs 171 A G T C G 248 276 vs 169 C A T C G 373 274 vs 169 C A G T C G 457 273 vs 163 C A T G T C G MARKERS FLAP cases/controls freq % case/controls ESTIMATED FREQUENCIES diff. freq. all. Frequencies (cases - controls) haplotype Odds Pvalue pvalue cases controls ratio Chi-S (1 df) 1 293 vs 265 0.283 0.197 1.61 11.18 (8.2e−04) 2 281 vs 177 0.305 0.210 1.65 9.97 (1.6e−03) 3 293 vs 261 0.307 0.224 1.53 9.62 (1.8e−03) 4 289 vs 271 0.304 0.231 1.46 7.77 (5.2e−03) 5 293 vs 168 0.309 0.226 1.53 7.26 (6.9e−03) 6 293 vs 265 0.276 0.208 1.46 7.17 (7.3e−03) 7 282 vs 178 0.314 0.233 1.50 7.01 (7.7e−03) 37 281 vs 176 0.265 0.171 1.76 11.04 (8.6e−04) 38 280 vs 173 0.292 0.194 1.71 10.71 (1.0e−03) 39 289 vs 264 0.283 0.199 1.59 10.56 (1.1e−03) 40 278 vs 175 0.271 0.180 1.70 9.94 (1.6e−03) 41 284 vs 176 0.287 0.195 1.66 9.77 (1.7e−03) 121 277 vs 171 0.265 0.169 1.77 11.07 (8.6e−04) 122 278 vs 173 0.290 0.195 1.69 10.29 (1.3e−03) 123 279 vs 176 0.264 0.175 1.70 9.80 (1.7e−03) 124 276 vs 175 0.271 0.181 1.69 9.72 (1.7e−03) 125 280 vs 174 0.265 0.176 1.69 9.68 (1.8e−03) 247 275 vs 171 0.265 0.170 1.77 10.91 (9.1e−04) 248 276 vs 169 0.265 0.172 1.74 10.30 (1.3e−03) 373 274 vs 169 0.265 0.172 1.73 10.13 (1.4e−03) 457 273 vs 163 0.247 0.167 1.64 7.74 (5.2e−03)

TABLE 16 HAPLOTYPE FREQUENCY ANALYSIS PERMUTATIONS TEST RESULTS (>1000 Iterations) 10-33-234 10-35-390 Markers intron 2 intron 4 ALT vs US A T cases vs US controls 5.3 (51 vs 56) 6.93E−02 9 (31 vs 23) 2.29E−03 ASSOCIATION diff all. Freq pvalue diff all. Freq pvalue sample haplotype PERMUTATIONS sizes frequencies TEST RESULTS HAPLOTYPE cases vs con- odds- Av. Max >Iter/ (AT) controls cases trols p-excess ratio chi-S P value Chi-S Chi-S nb of Iter. Asthmatics vs 293 vs 265 0.283 0.197 10.7 1.61 11.18 8.20E−04 1.2 7.4 0/1000 US controls 1.2 12.9 1/10 000

TABLE 17 HAPLOTYPE FREQUENCY ANALYSIS (Asthma) 297 Asthmatics vs 186 US controls randoms MARKERS 12-lipoxygenase 12-208-35 12-126-167 12-206-366 10-347-203 10-347-220 10-349-97 10-349-224 cases/controls 5′ gene intron 2 exon 6 exon 8 12-196-119 12-214-129 frequency % 284/182 288/188 272/89 285/184 274/184 282/182 271/177 281/181 282/181 (case/controls) 59/58 (T) 62/59 (C) 57/62 (T) 57/58 (A) 58/60 (G) 59/60 (A) 57/60 (G) 70/71 (T) 61/61 (T) diff freq. all. (cases 0.9 3.4 −4.6 −1.2 −1.7 −1.9 −3.1 −1.2 −0.7 controls) 7.52e−01 2.94e−01 2.73e−01 6.55e−01 5.84e−01 5.27e−01 3.43e−01 6.55e−01 7.52e−01 pvalue * * * * * * * * * 1 268 vs 176 G C 2 277 vs 174 A C 3 274 vs 179 G 4 282 vs 176 A 5 280 vs 176 A C 6 285 vs 178 A 7 270 vs 176 C T 8 247 vs 86  C A T 9 255 vs 85  C G T 10 253 vs 84  C G T 11 267 vs 172 A T 12 281 vs 181 C G 13 274 vs 182 C A 14 278 vs 174 A T 15 267 vs 175 G T 16 276 vs 173 A T 17 273 vs 172 A T C 18 268 vs 172 G C 19 261 vs 172 G T C 20 271 vs 171 A T C 21 277 vs 169 A C 22 280 vs 171 A C 23 264 vs 170 G A C 24 264 vs 81  T C G MARKERS 12-lipoxygenase cases/controls 12-216-421 12-219-230 12-223-207 frequency % 288/182 288/187 287/186 (case/controls) 61/64 (G) 64/68 (A) 62/62 (T) ESTIMATED FREQUENCIES diff freq. all. (cases −2.9 −4.2 0.8 haplotype controls) 3.71e−01 1.80e−01 7.52e−01 frequencies p- Odds pvalue * * * cases controls excess ratio Chi-S Pvalue (1 df) 1 268 vs 176 G 0.123 0.040 8.63 3.38 17.85 (2.3e−05) 2 277 vs 174 G 1.125 0.041 8.71 3.31 17.75 (2.5e−05) 3 274 vs 179 A G 0.123 0.041 8.49 3.26 17.47 (2.9e−05) 4 282 vs 176 A G 0.125 0.043 8.57 3.20 17.29 (3.2e−05) 5 280 vs 176 G 0.115 0.037 8.08 3.36 16.81 (3.9e−05) 6 285 vs 178 A G 0.113 0.039 7.73 3.16 15.62 (7.4e−05) 7 270 vs 176 T 0.130 0.055 7.98 2.58 13.40 (2.5e−04) 8 247 vs 86  0.405 0.256 19.96 1.97 12.10 (5.0e−04) 9 255 vs 83  0.406 0.259 19.81 1.95 11.80 (5.6e−04) 10 253 vs 84  0.399 0.253 19.62 1.97 11.73 (5.9e−04) 11 267 vs 172 T 0.088 0.030 5.97 3.09 11.45 (7.0e−04) 12 281 vs 181 T 0.136 0.066 7.50 2.22 11.10 (8.6e−04) 13 274 vs 182 T 0.137 0.067 7.52 2.21 11.05 (8.6e−04) 14 278 vs 174 A G 0.118 0.031 9.01 4.18 21.01 (4.4e−06) 15 267 vs 175 A G 0.124 0.035 9.27 3.92 20.87 (4.8e−06) 16 276 vs 173 A G 0.124 0.035 9.23 3.91 20.65 (5.4e−06) 17 273 vs 172 G 0.121 0.034 9.01 3.90 20.02 (7.3e−06) 18 268 vs 172 A G 0.124 0.036 9.14 3.76 19.84 (8.2e−06) 19 261 vs 172 G 0.126 0.037 9.20 3.74 19.81 (8.2e−06) 20 271 vs 171 G 0.125 0.037 9.11 3.69 19.49 (1.0e−05) 21 277 vs 169 A G 0.125 0.038 9.06 3.64 19.10 (1.2e−05) 22 280 vs 171 A G 0.116 0.033 8.56 3.81 18.76 (1.5e−05) 23 264 vs 170 G 0.125 0.040 8.91 3.45 18.15 (2.0e−05) 24 264 vs 81  G 0.197 0.056 14.96 4.13 18.01 (2.1e−05)

TABLE 18A ALLELE FREQUENCY ANALYSIS (Asthma) CASES (297 ALT) vs CONTROLS (186 US CAUCASIAN) MARKERS 12-197/244 12-205/35 12-226/167 12-206/366 10-346/141 10-347/111 PROTEIN 12-LO 5′ gene In2 ex5 ex6 cases/controls 277/180 284/182 288/188 272/89 285/185 284/180 frequency % (case/controls) 66/67 (T) 58/57 (T) 62/58 (C) 57/61 (T) 99/100 (G) 99/100 (G) diff freq. all. (cases - controls) −1.0 0.9 3.4 −4.6 −0.4 −0.2 pvalue 7.52e−01 7.52e−01 2.94e−01 2.73e−01 HOM HOM * * * * Test cases vs 0.034 (HWD) −0.002 (HWE) −0.001 (HWE) −0.014 (HWE) 0.000 (HWD) 0.000 (HWD) Hardy Weinberg controls 0.054 (HWD) −0.020 (HWE) 0.022 (HWE) 0.000 (HWE) 0.000 (HWD) 0.000 (HWD) MARKERS 10-347/165 10-347/203 10-347/220 10-349/97 10-349/224 10-341/116 PROTEIN 12-LO ex6 ex5 ex14 cases/controls 268/185 280/184 283/184 287/182 277/177 286/176 frequency % (case/controls) 99/100 (C) 57/58 (A) 57/59 (G) 59/60 (A) 56/60 (G) 89/89 (G) diff freq. all. (cases - controls) −0.2 −1.1 −2.1 −1.4 −4.1 0.1 pvalue 5.92e−01# 6.55e−01 4.80e−01 6.55e−01 2.06e−01 7.52e−01 * * * * * * Test cases vs 0.000 (HWD) −0.011 (HWE) −0.005 (HWE) 0.003 (HWE) −0.010 (HWE) −0.008 (HWE) Hardy Weinberg controls 0.000 (HWD) 0.012 (HWE) 0.021 (HWE) 0.008 (HWE) −0.004 (HWE) −0.000 (HWE) MARKERS 12-196/119 12-214/129 12-216/421 12-219/230 12-223/207 PROTEIN 12-LO markers in bac cases/controls 281/184 282/181 288/182 288/187 287/186 frequency % (case/controls) 69/70 (T) 60/61 (T) 61/64 (G) 63/67 (A) 62/61 (T) diff freq. all. (cases - controls) −1.2 −0.7 −2.9 −4.2 0.8 pvalue 6.55e−01 7.52e−01 3.71e−01 1.80e−01 7.52e−01 * * * * * Test cases vs 0.012 (HWE) −0.013 (HWE) −0.012 (HWE) −0.010 (HWE) 0.012 (HWD) Hardy Weinberg controls 0.030 (HWE) 0.016 (HWE) 0.024 (HWE) −0.001 (HWE) −0.019 (HWD)

TABLE 18B HAPLOTYPE FREQUENCY ANALYSIS (Asthma) CASES (297 ALT) vs CONTROLS (186 US CAUCASIAN) ESTIMATED FREQUENCIES Haplotype frequencies P- Marker 1 Marker 2 Marker 3 Marker 4 Haplotype cases controls excess haplotype 1 PT2 265 vs 86 12-206/366 10-349/224 CT 0.424 0.265 21.72 haplotype 2 PT2 267 vs 89 12-206/366 10-347/220 CA 0.423 0.274 20.56 haplotype 3 PT2 266 vs 88 12-206/366 10-347/203 CG 0.421 0.277 19.96 haplotype 4 PT2 271 vs 87 12-206/366 10-349/97 CG 0.408 0.270 18.88 haplotype 5 PT2 271 vs 174 12-197/244 12-214/129 CC 0.148 0.077 7.66 haplotype 6 PT2 285 vs 175 10-341/116 12-223/207 AT 0.042 0.008 3.45 haplotype 7 PT3 282 vs 174 10-349/97 12-214/129 12-219/230 ACG 0.125 0.041 8.73 haplotype 8 PT3 287 vs 176 10-349/97 12-216/421 12-219/230 AAG 0.126 0.043 8.67 haplotype 9 PT3 277 vs 176 10-347/220 12-214/129 12-219/230 GCG 0.119 0.040 8.28 haplotype 10 PT3 275 vs 176 10-347/203 12-214/129 12-219/230 ACG 0.115 0.037 8.05 haplotype 11 PT3 283 vs 179 10-347/220 12-216/421 12-219/230 GAG 0.119 0.041 8.11 haplotype 12 PT3 266 vs 171 12-197/244 10-347/203 12-214/129 CAC 0.070 0.012 5.96 haplotype 13 PT3 248 vs 85 12-206/366 10-347/165 10-349/224 CCT 0.427 0.255 23.11 haplotype 14 PT3 271 vs 168 12-197/244 10-349/97 12-214/129 CAC 0.069 0.012 5.83 haplotype 15 PT3 261 vs 86 12-206/366 10-347/220 10-349/224 CAT 0.423 0.256 22.45 haplotype 16 PT3 276 vs 176 12-226/167 10-349/224 12-223/207 CTT 0.137 0.055 8.64 haplotype 17 PT3 280 vs 178 10-347/203 12-216/421 12-219/230 AAG 0.112 0.039 7.59 haplotype 18 PT3 268 vs 170 12-197/244 10-347/220 12-214/129 CGC 0.067 0.012 5.60 haplotype 19 PT3 249 vs 88 12-206/366 10-347/165 10-347/220 CCA 0.428 0.265 22.14 haplotype 20 PT3 264 vs 86 12-206/366 10-346/141 10-349/224 CGT 0.426 0.265 21.94 haplotype 21 PT3 261 vs 85 12-206/366 10-347/203 10-349/224 CGT 0.418 0.259 21.40 haplotype 22 PT3 264 vs 84 12-206/366 10-349/97 10-349/224 CGT 0.411 0.253 21.19 haplotype 23 PT3 248 vs 87 12-206/366 10-347/165 10-347/203 CCG 0.425 0.268 21.54 haplotype 24 PT3 261 vs 86 12-206/366 10-347/111 10-349/224 CGT 0.421 0.265 21.30 haplotype 25 PT3 266 vs 164 12-197/244 10-347/111 12-214/129 CGC 0.151 0.068 8.89 haplotype 26 PT3 265 vs 89 12-206/366 10-346/141 10-347/220 CGA 0.426 0.274 21.00 haplotype 27 PT4 280 vs 173 10-349/97 12-196/119 12-216/421 12-219/230 ATAG 0.124 0.035 9.20 haplotype 28 PT4 274 vs 174 10-347/203 12-196/119 12-216/421 12-219/230 ATAG 0.117 0.031 8.89 haplotype 29 PT4 275 vs 171 10-349/97 12-196/119 12-214/129 12-219/230 ATCG 0.126 0.037 9.21 haplotype 30 PT4 276 vs 175 10-347/220 12-196/119 12-216/421 12-219/230 GTAG 0.121 0.035 8.92 haplotype 31 PT4 269 vs 172 10-347/203 12-196/119 12-214/129 12-219/230 ATCG 0.120 0.034 8.90 haplotype 32 PT4 280 vs 165 10-349/97 10-341/116 12-214/129 12-219/230 AGCG 0.127 0.038 9.30 haplotype 33 PT4 270 vs 172 10-347/220 12-196/119 12-214/129 12-219/230 GTCG 0.124 0.037 9.00 haplotype 34 PT4 282 vs 169 10-349/97 12-214/129 12-216/421 12-219/230 ACAG 0.124 0.038 9.00 haplotype 35 PT4 267 vs 167 12-197/244 12-208/35 12-214/129 12-223/207 CTCC 0.055 0.000 5.49 haplotype 36 PT4 285 vs 167 10-349/97 10-341/116 12-216/421 12-219/230 AGAG 0.127 0.039 9.12 haplotype 37 PT4 277 vs 172 10-347/220 12-214/129 12-216/421 12 219/230 GCAG 0.120 0.036 8.71 haplotype 38 PT4 275 vs 171 10-347/203 12-214/129 12-216/421 12-219/230 ACAG 0.116 0.033 8.52 haplotype 39 PT4 276 vs 162 12-208/35 10-341/116 12-214/129 12-219/230 AGCG 0.054 0.000 5.40 haplotype 40 PT4 245 vs 85 12-206/366 10-347/165 10-347/220 10-349/224 CCAT 0.429 0.246 24.18 haplotype 41 PT4 268 vs 81 12-208/35 12-206/366 10-349/97 12-216/421 TCGG 0.196 0.056 14.80 PERMUTATIONS ESTIMATED FREQUENCIES TEST RESULTS Odds Av. Max >Iter/ ratio Chi-S Pvalue (1 df) Chi-S Chi-s nb of Iter haplotype 1 PT2 265 vs 86 2.05 13.97 (1.8e−04) **** 2.2 8.3 [0/100] haplotype 2 PT2 267 vs 89 1.94 12.55 (3.9e−04) *** 2.3 9.3 [0/100] haplotype 3 PT2 266 vs 88 1.90 11.64 (6.3e−04) *** 2.1 7.1 [0/100] haplotype 4 PT2 271 vs 87 1.86 10.69 (1.1e−03) *** 1.7 5.9 [0/100] haplotype 5 PT2 271 vs 174 2.08 10.03 (1.5e−03) *** 1.8 9.7 [0/100] haplotype 6 PT2 285 vs 175 5.48 8.95 (2.7e−03) *** 1.4 9.9 [2/100] haplotype 7 PT3 282 vs 174 3.32 17.87 (2.3e−05) ***** 1.8 8.5 [0/100] haplotype 8 PT3 287 vs 176 3.23 17.65 (2.6e−05) ***** 1.5 13.6 [0/100] haplotype 9 PT3 277 vs 176 3.27 16.90 (3.7e−05) **** 3.0 15.4 [0/100] haplotype 10 PT3 275 vs 176 3.35 16.64 (4.4e−05) **** 2.4 19.2 [1/100] haplotype 11 PT3 283 vs 179 3.15 16.40 (5.1e−05) **** 2.6 14.4 [0/100] haplotype 12 PT3 266 vs 171 6.46 15.97 (6.3e−05) **** 1.9 11.3 [0/100] haplotype 13 PT3 248 vs 85 2.18 15.86 (6.7e−05) **** 2.7 18.8 [1/100] haplotype 14 PT3 271 vs 168 6.37 15.34 (8.7e−05) **** 1.8 10.4 [0/100] haplotype 15 PT3 261 vs 86 2.13 15.27 (9.2e−05) **** 2.4 7.8 [0/100] haplotype 16 PT3 276 vs 176 2.72 15.27 (9.2e−05) **** 1.4 7.1 [0/100] haplotype 17 PT3 280 vs 178 3.12 15.15 (9.7e−05) **** 2.2 21.1 [2/100] haplotype 18 PT3 268 vs 170 6.10 14.68 (1.3e−04) **** 2.0 12.7 [0/100] haplotype 19 PT3 249 vs 88 2.07 14.54 (1.3e−04) **** 2.8 9.4 [0/100] haplotype 20 PT3 264 vs 86 2.06 14.23 (1.6e−04) **** 2.6 11.2 [0/100] haplotype 21 PT3 261 vs 85 2.05 13.71 (2.0e−04) **** 2.2 8.3 [0/100] haplotype 22 PT3 264 vs 84 2.06 13.68 (2.1e−04) **** 2.4 7.2 [0/100] haplotype 23 PT3 248 vs 87 2.03 13.55 (2.3e−04) **** 2.2 8.5 [0/100] haplotype 24 PT3 261 vs 86 2.02 13.43 (2.4e−04) **** 2.1 6.1 [0/100] haplotype 25 PT3 266 vs 164 2.44 13.33 (2.5e−04) **** 1.9 25.3 [1/100] haplotype 26 PT3 265 vs 89 1.97 13.04 (3.0e−04) **** 2.3 7.0 [0/100] haplotype 27 PT4 280 vs 173 3.90 20.63 (5.4e−06) ***** 1.5 11.6 [0/100] haplotype 28 PT4 274 vs 174 4.14 20.59 (5.7e−06) ***** 2.7 19.0 [0/100] haplotype 29 PT4 275 vs 171 3.72 19.86 (8.2e−06) ***** 2.0 11.8 [0/100] haplotype 30 PT4 276 vs 175 3.80 19.84 (8.2e−06) ***** 2.4 14.7 [0/100] haplotype 31 PT4 269 vs 172 3.86 19.61 (9.1e−06) ***** 2.4 12.2 [0/100] haplotype 32 PT4 280 vs 165 3.73 19.55 (9.5e−06) ***** 1.9 16.0 [0/100] haplotype 33 PT4 270 vs 172 3.68 19.31 (1.1e−05) ***** 2.8 19.3 [0/100] haplotype 34 PT4 282 vs 169 3.62 18.98 (1.3e−05) ***** 1.8 10.5 [0/100] haplotype 35 PT4 267 vs 167 100.00 18.96 (1.3e−05) ***** 2.6 21.7 [2/100] haplotype 36 PT4 285 vs 167 3.55 18.89 (1.4e−05) ***** 2.0 12.3 [0/100] haplotype 37 PT4 277 vs 172 3.62 18.59 (1.6e−05) ***** 2.3 25.8 [1/100] haplotype 38 PT4 275 vs 171 3.80 18.57 (1.6e−05) ***** 2.7 21.6 [1/100] haplotype 39 PT4 276 vs 162 0.00 18.10 (2.0e−05) ***** 2.7 18.6 [1/100] haplotype 40 PT4 245 vs 85 2.30 17.77 (2.5e−05) ***** 3.0 7.5 [0/100] haplotype 41 PT4 268 vs 81 4.09 17.76 (2.5e−05) ***** 1.8 15.1 [0/100]

TABLE 19 HAPLOTYPE FREQUENCY ANALYSIS (Zyflo secondary effects) 89 ALT+ vs 208 ALT− MARKERS 12-lipoxygenase Size 12-208-35 12-226-167 12-206-366 10-347-203 10-347-220 10-349-97 10-349-224 (cases/controls) 5′ gene Intron 2 exon 6 exon 8 12-196-119 12-214-129 frequency % 87/197 89/199 86/186 88/197 86/188 86/196 86/185 86/195 89/193 (cases/controls) 58/59 (T) 61/63 (C) 55/58 (T) 56/58 (A) 56/59 (G) 58/59 (A) 54/59 (G) 72/69 (T) 59/61 (T) diff freq. all. −0.8 −2.1 −3.7 −2.2 −3.0 −1.4 −4.8 3.4 −2.4 (cases - controls) 7.52e−01 5.84e−01 4.03e−01 5.84e−01 4.80e−01 7.52e−01 2.73e−01 4.03e−01 5.84e−01 p value * * * * * * * * * 1 87 vs 197 A G 2 83 vs 184 A C 3 85 vs 185 T 4 85 vs 186 C 5 85 vs 179 T C 6 85 vs 180 C C 7 86 vs 188 A 8 82 vs 174 C T 9 85 vs 179 T C 10 83 vs 177 A T 11 82 vs 183 G T 12 85 vs 183 G T 13 82 vs 168 C T C 14 84 vs 175 C A 15 84 vs 184 C G 16 85 vs 180 C C 17 82 vs 181 T T 18 83 vs 187 A T T 19 83 vs 171 A T C 20 83 vs 174 C T 21 82 vs 178 G T C 22 82 vs 168 C T C 23 82 vs 172 C G T 24 81 vs 166 C A T 25 80 vs 171 C T T MARKERS 2-lipoxygenase Size (cases/controls) 12-216-421 12-223-207 frequency % 89/199 12-219230 88/199 (cases/controls) 58/63 (G) 89/199 62/63 (T) ESTIMATED FREQUENCIES diff freq. all. −4.7 67/62 (A) −0.6 haplotype (cases - controls) 2.73e−01 4.5 7.52e−01 frequencies Odds p value * 2.94e−01 * cases controls ratio Chi-S Pvalue(1 df) 1 87 vs 197 0.123 0.070 1.87 4.34 (3.6e−02) 2 83 vs 184 0.209 0.140 1.63 4.09 (4.3e−02) 3 85 vs 185 A T 0.151 0.048 3.53 16.76 (4.2e−05) 4 85 vs 186 A T 0.148 0.059 2.77 11.62 (6.3e−04) 5 85 vs 179 T 0.151 0.066 2.52 9.85 (1.7e−03) 6 85 vs 180 T 0.149 0.070 2.34 8.42 (3.6e−03) 7 86 vs 188 A T 0.157 0.076 2.25 8.36 (3.8e−03) 8 82 vs 174 A T 0.158 0.040 4.56 21.85 (2.9e−06) 9 85 vs 179 A T 0.157 0.052 3.37 16.03 (6.0e−05) 10 83 vs 177 A T 0.162 0.057 3.22 15.30 (9.2e−05) 11 82 vs 183 A T 0.147 0.050 3.23 14.18 (1.6e−04) 12 85 vs 183 A T 0.143 0.049 3.21 13.97 (1.8e−04) 13 82 vs 168 T 0.156 0.058 3.02 13.08 (3.0e−04) 14 84 vs 175 A T 0.155 0.062 2.78 11.77 (5.9e−04) 15 84 vs 184 A T 0.147 0.059 2.74 11.22 (7.8e−04) 16 85 vs 180 A T 0.145 0.058 2.74 11.05 (8.6e−04) 17 82 vs 181 A T 0.132 0.050 2.85 10.62 (1.1e−03) 18 83 vs 187 T 0.148 0.066 2.48 9.50 (2.1e−03) 19 83 vs 171 T 0.162 0.074 2.41 9.29 (2.3e−03) 20 83 vs 174 A A 0.111 0.041 2.92 9.24 (2.3e−03) 21 82 vs 178 T 0.152 0.068 2.45 9.22 (2.3e−03) 22 82 vs 168 A T 0.161 0.043 4.27 20.43 (6.0e−06) 23 82 vs 172 A T 0.146 0.040 4.07 18.03 (2.1e−05) 24 81 vs 166 A T 0.160 0.047 3.82 17.77 (2.5e−05) 25 80 vs 171 A T 0.137 0.037 4.17 17.18 (3.4e−05)

TABLE 20A ALLELE FREQUENCY ANALYSIS (Zyflo secondary effects) CASES (85 ALT+) vs CONTROLS (208 ALT−) MARKERS 12-197/244 12-208/35 12-226/167 12-206/366 10-346/141 10-347/111 PROTEIN 12-LO 5′ gene In2 ex5 ex6 cases/controls 81/196 87/197 89/199 86/186 88/197 88/196 frequency % (case/controls) 70/65(T) 58/59(T) 61/63(C) 55/58(T) 100/99(G) 99/100(G) diff freq. all. (cases - controls) 5.8 −0.8 −2.1 −3.7 0.5 −0.6 pvalue 1.80e−01 7.52e−01 5.84e−01 4.03e−01 HOM HOM * * * * Test cases vs −0.001 (HWE) 0.008 (HWE) −0.020 (HWE) −0.031 (HWE) 0.000 (HWD) 0.000 (HWD) Hardy Weinberg controls 0.048 (HWD) −0.007 (HWE) 0.007 (HWE) −0.007 (HWE) 0.000 (HWD) 0.000 (HWD) MARKERS 10-347/165 10-347/203 10-347/220 10-349/97 10-349/224 10-341/116 PROTEIN 12-LO ex6 ex8 ex14 cases/controls 69/199 83/197 87/196 89/198 83/194 89/197 frequency % (case/controls) 100/99(C) 56/58(A) 43/57(G) 59/59(A) 54/57(G) 90/89(G) diff freq. all. (cases - controls) 0.3 −1.8 0.1 −0.1 −3.0 1.6 pvalue 7.43e−01# 6.55e−01 7.52e−01 7.52e−01 4.80e−01 5.27e−01 * * * * * * Test cases vs 0.000 (HWD) −0.037 (HWE) 0.020 (HWE) 0.000 (HWE) −0.029 (HWE) 0.002 (HWE) Hardy Weinberg controls 0.000 (HWD) 0.000 (HWE) 0.002 (HWE) 0.004 (HWE) −0.003 (HWD) 0.764 (HWE) MARKERS 12-196/119 12-214/129 12-216/421 12-219/230 12-223/207 PROTEIN 12-LO markers in bac cases/controls 86/195 89/193 89/199 89/199 88/199 frequency % (case/controls) 72/69(T) 59/61(T) 58/63(G) 67/62(G) 62/63(T) diff freq. all. (cases - controls) 3.4 −2.4 −4.7 4.5 −0.6 pvalue 4.03e−01 5.84e−01 2.73e−01 2.94e−01 7.52e−01 * * * * * Test cases vs 0.015 (HWE) −0.011 (HWE) −0.031 (HWE) 0.002 (HWE) 0.037 (HWE) Hardy Weinberg controls 0.010 (HWE) −0.014 (HWE) −0.004 (HWE) −0.016 (HWE) 0.001 (HWE)

TABLE 20B HAPLOTYPE FREQUENCY ANALYSIS (Zyflo secondary effects) CASES (85 ALT+) vs CONTROLS (208 ALT−) ESTIMATED FREQUENCIES Haplotype frequencies MARKER 1 MARKER 2 MARKER 3 MARKER 4 MARKER 5 HAPLOTYPE cases controls haplotype 1 PT2 79 vs 192 12-197/244 12-196/119 TT 0.542 0.436 haplotype 2 PT2 87 vs 197 12-208/35 12-226/167 AG 0.123 0.070 haplotype 3 PT2 84 vs 183 12-206/366 12-196/119 CC 0.205 0.139 haplotype 4 PT2 84 vs 192 10-347/220 12-196/119 GT 0.486 0.400 haplotype 5 PT2 81 vs 193 10-347/203 12-196/119 GC 0.207 0.144 haplotype 6 PT3 82 vs 194 10-349/224 12-216/421 12-223/207 TAT 0.158 0.064 haplotype 7 PT3 85 vs 186 12-206/366 12-216/421 12-223/207 CAT 0.148 0.059 haplotype 8 PT3 77 vs 180 12-197/244 12-206/366 12-196/119 TTT 0.434 0.286 haplotype 9 PT3 78 vs 190 12-197/244 10-347/220 12-196/119 TGT 0.433 0.291 haplotype 10 PT3 76 vs 187 12-197/244 10-349/224 12-196/119 TGT 0.435 0.293 haplotype 11 PT3 77 vs 191 12-197/244 10-349/224 12-216/421 CTA 0.137 0.056 haplotype 12 PT3 75 vs 191 12-197/244 10-347/203 12-196/119 TAT 0.431 0.294 haplotype 13 PT4 81 vs 183 12-206/366 10-349/224 12-216/421 12-223/207 CTAT 0.160 0.058 haplotype 14 PT4 84 vs 185 12-206/366 10-346/141 12-216/421 12-223/207 CGAT 0.158 0.058 haplotype 15 PT4 82 vs 188 10-349/224 12-214/129 12-216/421 12-223/207 TCAT 0.161 0.063 haplotype 16 PT4 81 vs 184 12-206/366 10-347/203 12-216/421 12-223/207 CGAT 0.153 0.059 haplotype 17 PT4 82 vs 191 10-347/111 10-349/224 12-216/421 12-223/207 GTAT 0.159 0.064 haplotype 18 PT4 82 vs 192 10-346/141 10-349/224 12-216/421 12-223/207 GTAT 0.158 0.065 haplotype 19 PT4 81 vs 192 10-347/220 10-349/224 12-216/421 12-223/207 ATAT 0.159 0.066 haplotype 20 PT4 84 vs 183 12-206/366 10-347/220 12-216/421 12-223/207 CAAT 0.150 0.059 haplotype 21 PT4 85 vs 183 12-206/366 10-347/111 12-216/421 12-223/207 CGAT 0.148 0.059 haplotype 22 PT4 76 vs 185 12-197/244 10-346/141 10-349/224 12-196/119 TGGT 0.435 0.284 haplotype 23 PT4 85 vs 180 12-206/366 12-214/129 12-216/421 12-223/207 CCAT 0.145 0.058 haplotype 24 PT4 80 vs 192 10-347/203 10-349/224 12-216/421 12-223/207 GTAT 0.156 0.065 haplotype 25 PT4 82 vs 190 10-347/203 10-341/116 12-214/129 12-223/207 GGCT 0.125 0.046 haplotype 26 PT5 77 vs 190 12-197/244 12-208/35 12-196/119 12-216/421 12-219/230 TATGA 0.138 0.050 haplotype 27 PT5 77 vs 189 12-197/244 12-208/35 10-349/97 12-196/119 12-223/207 TTATC 0.127 0.045 haplotype 28 PT5 77 vs 184 12-197/244 12-208/35 12-196/119 12-214/129 12-219/230 TATTA 0.126 0.047 haplotype 29 PT5 76 vs 188 12-197/244 12-208/35 10-347/220 12-196/119 12-223/207 TTGTC 0.121 0.048 haplotype 30 PT5 76 vs 176 12-197/244 12-208/35 12-206/366 10-341/116 12-196/119 TTTGT 0.195 0.099 PERMUTATIONS ESTIMATED FREQUENCIES TEST RESULTS p- Odds Max >Iter/ excess ratio Chi-S Pvalue (1 df) Av. Chi-S Chi-s No. of Iter haplotype 1 PT2 79 vs 192 18.89 1.53 5.11 (2.3e−02) ** 1.7 6.7 [3/100] haplotype 2 PT2 87 vs 197 5.73 1.87 4.34 (3.6e−02) * 1.1 7.3 [4/100] haplotype 3 PT2 84 vs 183 7.68 1.60 3.75 (5.1e−02) * 1.3 8.0 [11/100]  haplotype 4 PT2 84 vs 192 14.25 1.41 3.49 (6.1e−02) * 1.0 5.3 [8/100] haplotype 5 PT2 81 vs 193 7.46 1.56 3.43 (6.1e−02) * 1.3 10.3 [9/100] haplotype 6 PT3 82 vs 194 10.09 2.76 12.35 (4.3e−04) *** 2.1 11.0 [0/100] haplotype 7 PT3 85 vs 186 9.44 2.77 11.62 (6.3e−04) *** 2.8 24.7 [3/100] haplotype 8 PT3 77 vs 180 20.67 1.91 10.62 (1.1e−03) *** 1.8 10.9 [1/100] haplotype 9 PT3 78 vs 190 19.96 1.86 9.98 (1.6e−03) *** 1.7 9.3 [0/100] haplotype 10 PT3 76 vs 187 20.17 1.86 9.88 (1.7e−03) *** 1.8 6.9 [0/100] haplotype 11 PT3 77 vs 191 8.56 2.66 9.76 (1.7e−03) *** 1.6 11.3 [1/100] haplotype 12 PT3 75 vs 191 19.42 1.82 9.13 (2.4e−03) *** 1.3 6.1 [0/100] haplotype 13 PT4 81 vs 183 10.82 3.10 14.38 (1.5e−04) **** 2.0 13.9 [0/100] haplotype 14 PT4 84 vs 185 10.62 3.04 14.20 (1.6e−04) **** 3.3 23.7 [2/100] haplotype 15 PT4 82 vs 188 10.50 2.86 13.12 (2.8e−04) **** 2.9 25.2 [3/100] haplotype 16 PT4 81 vs 184 10.03 2.89 12.50 (3.9e−04) *** 2.7 13.0 [1/100] haplotype 17 PT4 82 vs 191 10.14 2.77 12.33 (4.3e−04) *** 2.3 15.7 [2/100] haplotype 18 PT4 82 vs 192 9.96 2.70 11.85 (5.6e−04) *** 2.6 18.1 [3/100] haplotype 19 PT4 81 vs 192 10.02 2.69 11.78 (5.9e−04) *** 2.2 9.9 [0/100] haplotype 20 PT4 84 vs 183 9.60 2.79 11.72 (5.9e−04) *** 2.3 17.1 [3/100] haplotype 21 PT4 85 vs 183 9.42 2.76 11.45 (7.0e−04) *** 2.0 12.3 [1/100] haplotype 22 PT4 76 vs 185 21.12 1.94 11.16 (8.2e−04) *** 2.0 8.7 [0/100] haplotype 23 PT4 85 vs 180 9.20 2.74 11.03 (8.6e−04) *** 2.3 15.7 [3/100] haplotype 24 PT4 80 vs 192 9.65 2.63 11.00 (8.6e−04) *** 1.7 14.4 [3/100] haplotype 25 PT4 82 vs 190 8.22 2.94 10.86 (9.6e−04) *** 1.8 18.8 [2/100] haplotype 26 PT5 77 vs 190 9.27 3.06 12.24 (4.5e−04) *** 2.6 13.2 [2/100] haplotype 27 PT5 77 vs 189 8.56 3.08 11.42 (7.0e−04) *** 1.6 10.3 [0/100] haplotype 28 PT5 77 vs 184 8.30 2.93 10.42 (1.2e−03) *** 2.4 14.6 [4/100] haplotype 29 PT5 76 vs 188 7.63 2.71 8.84 (2.9e−03) *** 1.4 9.5 [1/100] haplotype 30 PT5 76 vs 176 10.67 2.21 8.82 (2.9e−03) *** 1.3 7.3 [0/100]

TABLE 21 Summary of Association Study Results and Permutation Tests 12-Lipoxygenase 12-206-366 10-347-203 10-349-224 intron 2 exon 6 exon 8 12-196-119 12-216-421 12-219-230 12-223-207 MARKERS C T A T HAPLOTYPE 8 Zyflo secondary effects (ALT+ vs ALT−) A T A G HAPLOTYPE 14 Asthma (ALT vs US) 4.03E−01 5.84E−01 7.52E−01 4.03E−01 2.73E−01 2.94E−01 7.52E−01 pvalue ALT+ vs −3.7 −2.2 −1.4 3.4 −4.7 4.5 −0.6 diff all. Freq ALT− 2.73E−01 6.55E−01 5.27E−01 6.55E−01 3.71E−01 1.80E−01 7.52E−01 pvalue ALT vs −4.6 −1.2 −1.9 −1.2 −2.9 −4.2 0.8 diff all. Freq caucasian US sample PERMUTATIONS sizes TEST RESULTS HAPLOTYPE 8 (ALT+ vs ALT−) cases vs haplotype frequencies odds- Av. Max >Iter/nb Zyflo secondary effects controls cases controls ratio chi-S P value Chi-S Chi-S of Iter. ALT+ vs 82 vs 174 0.158 0.04 4.56 21.85 2.90E−06 3.1 29.9 5/1 000 ALT− 3.3 40.9 77/10 000  ALT vs 256 vs 83  0.059 0 10.12 1.40E−03 3.5 37.6 82/1 000  caucasian US sample PERMUTATIONS sizes TEST RESULTS HAPLOTYPE 14 (ALT vs US) cases vs haplotype frequencies odds- Av. Max >Iter/nb Asthma controls cases controls ratio chi-S P value Chi-S Chi-S of Iter. ALT+ vs 85 vs 193 0.097 0.109 −1.34 0.18 6.50E−01 2.1 24.1 785/1 000 ALT− ALT vs 278 vs 174  0.118 0.031 4.18 21.01 4.40E−06 2.8 38.6 39/10 000 caucasian US 2.8 29.9  7/1 000

TABLE 22 Permutations Test Results 12-Lipoxygenase 12-206/366 10-349/97 10-349/224 12-195/119 12-214/129 12-216/421 12-219/230 12-223/207 In2 ex8 ex8 in bac (not localization in Bac: 3′ or 5′ gene) MARKERS C T A T HAPLO- (ALT+ TYPE 1 vs ALT−) A C G HAPLO- (ALT vs TYPE 2 US) A T A G HAPLO- TYPE 3 4.03e−01 7.52e−01 4.80e−01 4.03e−01 5.84e−01 2.73e−01 2.94e−01 7.52e−01 pvalue ALT+ −3.7 −0.1 −3.0 3.4 −2.4 −4.7 4.5 −0.6 (cases vs (54 vs 58) (58 vs 59) (54 vs 57) (72 vs 68) (58 vs 61) (57 vs 62) (66 vs 62) (61 vs 62) vs ALT− con- trols) 2.73e−01 6.55e−01 2.06e−01 6.55e−01 7.52e−01 3.71e−01 1.80e−01 7.52e−01 pvalue ALT vs cauca- sian US −4.6 −1.4 −4.1 −1.2 −0.7 −2.9 −4.2 0.8 (cases (57 vs 61) (59 vs 60) (56 vs 60) (69 vs 70) (60 vs 61) (61 vs 64) (63 vs 67) (62 vs 61) vs con- trols) Zyflo secondary effects HAPLOTYPE 1 (ALT+ vs ALT−) PERMUTATIONS (Zyflo sample haplotype TEST RESULTS secondary sizes frequencies >Iter/ effects) cases vs con- p- odds- Av. Max nb of CTAT controls cases trols excess ratio chi-S P value Chi-S Chi-S Iter. ALT+ vs  81 vs 183 0.16 0.058 10.82 3.10 14.38 1.60E−04 **** 2 13.9 0/100 ALT− 2.7 33.6 18/1000 ALT+ vs 81 vs 99 0.16 0.065 10.11 2.72 8.28 4.00E−03 *** 3.3 23.1 118/1000  ALT− (1) ALT+ vs 81 vs 84 0.16 0.044 12.12 4.15 12.23 4.50E−04 *** 2.7 19.6 20/1000 ALT− (2) ALT vs 264 vs 83  0.071 0 302.77# 7.08 12.37 4.30E−04 ***TH 2.6 23 25/1000 caucasian US Asthma gene PERMUTATIONS HAPLOTYPE sample haplotype TEST RESULTS 2 (ALT vs sizes frequencies >Iter/ US) (Asthma cases vs con- p- odds- Av. Max nb of gene)ACG controls cases trols excess ratio chi-S P value Chi-S Chi-S Iter. ALT+ vs 89 vs 193 0.131 0.121 1.14 1.10 0.11 6.50E−01 * 1.3 18.1 760/1000 ALT− ALT+ vs 89 vs 104 0.131 0.115 1.84 1.16 0.20 5.80E−01 * 1.5 14.6 883/1000 ALT− (1) ALT+ vs 89 vs 89  0.131 0.134 −0.26 0.98 0.00 7.50E−01 * 1.4 16.2 946/1000 ALT− (2) ALT vs 282 vs 174  0.125 0.041 8.73 3.32 17.87 2.30E−05 ***** 1.8 8.5  0/100 caucasian 2 19.9  2/1000 US PERMUTATIONS HAPLOTYPE sample haplotype TEST RESULTS 3 (ALT vs sizes frequencies >Iter/ US) (Asthma cases vs con- p- odds- Av. Max nb of gene) ATAG controls cases trols excess ratio chi-S P value Chi-S Chi-S Iter. ALT+ vs  86 vs 194 0.123 0.114 1.04 1.09 0.10 7.50E−01 * 1.5 15.5 816/1000 ALT− ALT+ VS  88 vs 100 0.123 0.108 1.69 1.16 0.21 5.80E−01 * 1.6 16.6 735/1000 ALT− (1) ALT+ vs 86 vs 94 0.123 0.11 1.54 1.14 0.16 6.50E−01 * 1.5 19.3 750/1000 ALT− (2) ALT vs 280 vs 173 0.124 0.035 9.2 3.9 20.63 5.40E−06 ****** 1.5 11.6  0/100 caucasian 2 18.7  0/1000 US

TABLE 23 Allele Frequency ALT+ ALT− US caucasian PROTEINS Marker size A C G T size A C G T size A C G T 12-LO 12-197/244 81 29.63 70.37 196 35.46 64.54 180 32.78 67.22 2 12-208/35 87 41.95 58.05 197 41.12 58.88 182 42.31 57.69 3 12-226/167 89 60.67 39.33 199 62.81 37.19 188 58.78 41.22 4 12-206/366 86 45.35 54.65 186 41.67 58.33 89 38.20 61.80 5 10-346/141 88 HOM 197 0.51 99.49 185 HOM 6 10-347/111 88 0.57 99.43 196 HOM 180 HOM 7 10-347/165 69 HOM 199 99.75 0.25 185 HOM 8 10-347/203 83 56.02 43.98 197 57.87 42.13 184 58.42 41.58 9 10-347/220 87 42.53 57.47 196 42.60 57.40 184 40.49 59.51 10 10-349/97 89 58.99 41.01 198 59.09 40.91 182 60.44 39.56 11 10-349/224 83 54.22 45.78 194 57.22 42.78 177 60.45 39.55 12 10-341/116 89 9.55 90.45 197 11.17 88.83 176 10.80 89.20 13 12-196/119 86 27.91 72.09 195 31.28 68.72 184 29.08 70.92 14 12-214/129 89 41.01 58.99 193 38.60 61.40 181 38.67 61.33 15 12-216/421 89 42.13 57.87 199 37.44 62.56 182 35.99 64.01 16 12-219/230 89 66.85 33.15 199 62.31 37.69 187 67.91 32.09 17 12-223/207 88 38.07 61.93 199 37.44 62.56 186 38.44 61.56 

1. A method of determining the frequency in a population of an allele of an eicosanoid-related biallelic marker or 12-LO-related biallelic marker, comprising the steps of: (a) genotyping individuals from said population for said eicosanoid-related biallelic marker or 12-LO-related biallelic marker according to the method of claim 1; and (b) determining the proportional representation of said eicosanoid-related biallelic marker or 12-LO-related biallelic marker in said population.
 2. The method according to claim 1, wherein said eicosanoid-related biallelic marker is found in a sequence selected from the group consisting of SEQ ID Nos. 652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304.
 3. The method according to claim 1, wherein step (a) is performed on each individual of said population.
 4. The method according to clam 1, wherein step (a) is performed on a single pooled biological sample derived from said population.
 5. A method of detecting an association between an allele and a phenotype, comprising the steps of: (a) determining the frequency of at least one eicosanoid-related biallelic marker allele or at least one 12-LO-related biallelic marker allele in an affected population according to the method of claim 1; (b) determining the frequency of said eicosanoid-related biallelic marker allele or said 12-LO-related biallelic marker allele in a control population according to the method of claim 1; and (c) determining whether a statistically significant association exists between said eicosanoid-related biallelic marker allele or said 12-LO-related biallelic marker allele and said phenotype.
 6. The method according to claim 5, wherein said control population is either a trait negative population or a random population.
 7. The method according to claim 5, wherein steps (a) and (b) are performed on a single pooled biological sample derived from each of said populations.
 8. The method according to claim 5, wherein steps (a) and (b) are performed separately on biological samples derived from each individual in said populations.
 9. The method according to claim 5, wherein said phenotype is a disease involving arachidonic acid metabolism.
 10. The method according to claim 5, wherein said phenotype is a response to an agent acting on arachidonic acid metabolism.
 11. The method according to claim 5, wherein said phenotype is a side effect to an agent acting on arachidonic acid metabolism.
 12. The method according to claim 5, wherein the identity of the nucleotides at all of the biallelic markers described in FIG. 2(A-B) is determined in steps (a) and (b).
 13. The method according to claim 5, wherein said eicosanoid-related biallelic marker is found in a sequence selected from the group consisting of SEQ ID Nos. 652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304.
 14. A method of estimating the frequency of a haplotype for a set of biallelic markers in a population, comprising the steps of: (a) genotyping each individual in said population for a first biallelic marker, wherein said first biallelic marker is a eicosanoid-related biallelic marker or a 12-LO-related biallelic marker; (b) genotyping each individual in said population for a second biallelic marker by determining the identity of the nucleotides at said second biallelic marker for both copies of said second biallelic marker present in the genome; and (c) applying a haplotype determination method to the identities of the nucleotides determined in steps (a) and (b) to obtain an estimate of said frequency.
 15. The method according to claim 14, wherein said haplotype determination method is selected from the group consisting of asymmetric PCR amplification, double PCR amplification of specific alleles, the Clark method, and an expectation maximization algorithm.
 16. The method according to claim 14, wherein said eicosanoid-related biallelic marker is found in a sequence selected from the group consisting of SEQ ID Nos. 652, 655-724, 726-1072, 1079-1143, 1145-1184, 1186-1193, and 1195-1304.
 17. A method of detecting an association between a haplotype and a phenotype, comprising the steps of: (a) estimating the frequency of at least one haplotype in an affected population according to the method of claim 14; (b) estimating the frequency of said haplotype in a control population according to the method of claim 14; and (c) determining whether a statistically significant association exists between said haplotype and said phenotype.
 18. The method according to claim 17, wherein said control population is either a trait negative population or a random population.
 19. The method according to claim 17, wherein said phenotype is a disease involving arachidonic acid metabolism.
 20. The method according to claim 17, wherein said phenotype is a response to an agent acting on arachidonic acid metabolism.
 21. The method according to claim 17, wherein said phenotype is a side effect to an agent acting on arachidonic acid metabolism. 